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You searched for subject:(text analytics). Showing records 1 – 30 of 58 total matches.

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Penn State University

1. Park, Mi Sun. Configurable Accelerators for Visual and Text Analytics.

Degree: 2014, Penn State University

 Continuously recording a person's daily life and creating a digital backup of it is no longer just science fiction. Current lifelogging technologies allow us to… (more)

Subjects/Keywords: Accelerators; Recognition; Vision; Text Processing; Personal Analytics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Park, M. S. (2014). Configurable Accelerators for Visual and Text Analytics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/23019

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Park, Mi Sun. “Configurable Accelerators for Visual and Text Analytics.” 2014. Thesis, Penn State University. Accessed August 13, 2020. https://submit-etda.libraries.psu.edu/catalog/23019.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Park, Mi Sun. “Configurable Accelerators for Visual and Text Analytics.” 2014. Web. 13 Aug 2020.

Vancouver:

Park MS. Configurable Accelerators for Visual and Text Analytics. [Internet] [Thesis]. Penn State University; 2014. [cited 2020 Aug 13]. Available from: https://submit-etda.libraries.psu.edu/catalog/23019.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Park MS. Configurable Accelerators for Visual and Text Analytics. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/23019

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Gruss, Richard J. Text Analytics for Customer Engagement in Social Media.

Degree: PhD, Management, 2018, Virginia Tech

 Businesses have recognized that customers provide value to the firm beyond transactions, and leveraging this value through relationships in social media is a new area… (more)

Subjects/Keywords: Text Analytics; Customer Engagement; Social Media

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APA (6th Edition):

Gruss, R. J. (2018). Text Analytics for Customer Engagement in Social Media. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82922

Chicago Manual of Style (16th Edition):

Gruss, Richard J. “Text Analytics for Customer Engagement in Social Media.” 2018. Doctoral Dissertation, Virginia Tech. Accessed August 13, 2020. http://hdl.handle.net/10919/82922.

MLA Handbook (7th Edition):

Gruss, Richard J. “Text Analytics for Customer Engagement in Social Media.” 2018. Web. 13 Aug 2020.

Vancouver:

Gruss RJ. Text Analytics for Customer Engagement in Social Media. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10919/82922.

Council of Science Editors:

Gruss RJ. Text Analytics for Customer Engagement in Social Media. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82922

3. Sarlin, Peter. Bank Networks from Text: Interrelations, Centrality and Determinants.

Degree: 2015, Theseus

 In the wake of the still ongoing global financial crisis, interdependencies among banks have come into focus in trying to assess systemic risk. To date,… (more)

Subjects/Keywords: Systemic risk; Network analysis; Analytics; Text; Bank

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APA (6th Edition):

Sarlin, P. (2015). Bank Networks from Text: Interrelations, Centrality and Determinants. (Thesis). Theseus. Retrieved from http://www.theseus.fi/handle/10024/140574

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sarlin, Peter. “Bank Networks from Text: Interrelations, Centrality and Determinants.” 2015. Thesis, Theseus. Accessed August 13, 2020. http://www.theseus.fi/handle/10024/140574.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sarlin, Peter. “Bank Networks from Text: Interrelations, Centrality and Determinants.” 2015. Web. 13 Aug 2020.

Vancouver:

Sarlin P. Bank Networks from Text: Interrelations, Centrality and Determinants. [Internet] [Thesis]. Theseus; 2015. [cited 2020 Aug 13]. Available from: http://www.theseus.fi/handle/10024/140574.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sarlin P. Bank Networks from Text: Interrelations, Centrality and Determinants. [Thesis]. Theseus; 2015. Available from: http://www.theseus.fi/handle/10024/140574

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

4. Lim, Sunghoon. EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA.

Degree: 2018, Penn State University

 Data-driven event detection and prediction are a fundamental research challenge of the 21st century. Data-driven event detection and prediction provide valuable current and future knowledge… (more)

Subjects/Keywords: Machine Learning; Text Mining; Social Media Analytics; Online Data Analytics; Event Detection; Event Prediction

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APA (6th Edition):

Lim, S. (2018). EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15041sxl441

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lim, Sunghoon. “EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA.” 2018. Thesis, Penn State University. Accessed August 13, 2020. https://submit-etda.libraries.psu.edu/catalog/15041sxl441.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lim, Sunghoon. “EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA.” 2018. Web. 13 Aug 2020.

Vancouver:

Lim S. EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Aug 13]. Available from: https://submit-etda.libraries.psu.edu/catalog/15041sxl441.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lim S. EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15041sxl441

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

5. Li, Kun. In-Database Large-Scale Statistical Data Analysis.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

 Enterprise applications need sophisticated in-database analytics in addition to traditional online analytical processing from a database. To meet customers' pressing demands, database vendors have been… (more)

Subjects/Keywords: Analytics; Atoms; Database management systems; Databases; Datasets; Engines; Inference; Machine learning; Summarization; Text analytics; analysis  – data  – in-database  – text

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APA (6th Edition):

Li, K. (2015). In-Database Large-Scale Statistical Data Analysis. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0047785

Chicago Manual of Style (16th Edition):

Li, Kun. “In-Database Large-Scale Statistical Data Analysis.” 2015. Doctoral Dissertation, University of Florida. Accessed August 13, 2020. https://ufdc.ufl.edu/UFE0047785.

MLA Handbook (7th Edition):

Li, Kun. “In-Database Large-Scale Statistical Data Analysis.” 2015. Web. 13 Aug 2020.

Vancouver:

Li K. In-Database Large-Scale Statistical Data Analysis. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2020 Aug 13]. Available from: https://ufdc.ufl.edu/UFE0047785.

Council of Science Editors:

Li K. In-Database Large-Scale Statistical Data Analysis. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0047785


University of Florida

6. Grant, Christan Earl. Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

 With the precipitous increase in data, performing text analytics using traditional methods has become increasingly dificult. From now until 2020 the world's data is predicted… (more)

Subjects/Keywords: Analytics; Canopy; Databases; Datasets; Inference; Knowledge bases; Machine learning; Scheduling; SQL; Text analytics; analytics  – coreference  – database  – large-scale  – query  – query-driven

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Grant, C. E. (2015). Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049144

Chicago Manual of Style (16th Edition):

Grant, Christan Earl. “Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference.” 2015. Doctoral Dissertation, University of Florida. Accessed August 13, 2020. https://ufdc.ufl.edu/UFE0049144.

MLA Handbook (7th Edition):

Grant, Christan Earl. “Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference.” 2015. Web. 13 Aug 2020.

Vancouver:

Grant CE. Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2020 Aug 13]. Available from: https://ufdc.ufl.edu/UFE0049144.

Council of Science Editors:

Grant CE. Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0049144


Arizona State University

7. Swadia, Japa Nimish. A Study of Text Mining Framework for Automated Classification of Software Requirements in Enterprise Systems.

Degree: Engineering, 2016, Arizona State University

Text Classification is a rapidly evolving area of Data Mining while Requirements Engineering is a less-explored area of Software Engineering which deals the process of… (more)

Subjects/Keywords: Computer science; Engineering; data analytics; R; requirements classification; text classification; text mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Swadia, J. N. (2016). A Study of Text Mining Framework for Automated Classification of Software Requirements in Enterprise Systems. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/38809

Chicago Manual of Style (16th Edition):

Swadia, Japa Nimish. “A Study of Text Mining Framework for Automated Classification of Software Requirements in Enterprise Systems.” 2016. Masters Thesis, Arizona State University. Accessed August 13, 2020. http://repository.asu.edu/items/38809.

MLA Handbook (7th Edition):

Swadia, Japa Nimish. “A Study of Text Mining Framework for Automated Classification of Software Requirements in Enterprise Systems.” 2016. Web. 13 Aug 2020.

Vancouver:

Swadia JN. A Study of Text Mining Framework for Automated Classification of Software Requirements in Enterprise Systems. [Internet] [Masters thesis]. Arizona State University; 2016. [cited 2020 Aug 13]. Available from: http://repository.asu.edu/items/38809.

Council of Science Editors:

Swadia JN. A Study of Text Mining Framework for Automated Classification of Software Requirements in Enterprise Systems. [Masters Thesis]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/38809


Universidade do Rio Grande do Sul

8. Scherer, Jonatas Ost. Avaliação das capacidades dinâmicas através de técnicas de business analytcs.

Degree: 2017, Universidade do Rio Grande do Sul

O desenvolvimento das capacidades dinâmicas habilita a empresa à inovar de forma mais eficiente, e por conseguinte, melhorar seu desempenho. Esta tese apresenta um framework… (more)

Subjects/Keywords: Dynamic capabilities; Gestão organizacional; Tomada de decisão; Text mining; Business analytics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Scherer, J. O. (2017). Avaliação das capacidades dinâmicas através de técnicas de business analytcs. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/171356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Scherer, Jonatas Ost. “Avaliação das capacidades dinâmicas através de técnicas de business analytcs.” 2017. Thesis, Universidade do Rio Grande do Sul. Accessed August 13, 2020. http://hdl.handle.net/10183/171356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Scherer, Jonatas Ost. “Avaliação das capacidades dinâmicas através de técnicas de business analytcs.” 2017. Web. 13 Aug 2020.

Vancouver:

Scherer JO. Avaliação das capacidades dinâmicas através de técnicas de business analytcs. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2017. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10183/171356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Scherer JO. Avaliação das capacidades dinâmicas através de técnicas de business analytcs. [Thesis]. Universidade do Rio Grande do Sul; 2017. Available from: http://hdl.handle.net/10183/171356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of South Africa

9. Johnson, Matilda Olubunmi. Visual analytics of arsenic in various foods .

Degree: 2014, University of South Africa

 Arsenic is a naturally occurring toxic metal and its presence in food composites could be a potential risk to the health of both humans and… (more)

Subjects/Keywords: Arsenic; Dietary; Cancer; Foods; Rice; Text mining; Visual analytics

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APA (6th Edition):

Johnson, M. O. (2014). Visual analytics of arsenic in various foods . (Doctoral Dissertation). University of South Africa. Retrieved from http://hdl.handle.net/10500/14388

Chicago Manual of Style (16th Edition):

Johnson, Matilda Olubunmi. “Visual analytics of arsenic in various foods .” 2014. Doctoral Dissertation, University of South Africa. Accessed August 13, 2020. http://hdl.handle.net/10500/14388.

MLA Handbook (7th Edition):

Johnson, Matilda Olubunmi. “Visual analytics of arsenic in various foods .” 2014. Web. 13 Aug 2020.

Vancouver:

Johnson MO. Visual analytics of arsenic in various foods . [Internet] [Doctoral dissertation]. University of South Africa; 2014. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10500/14388.

Council of Science Editors:

Johnson MO. Visual analytics of arsenic in various foods . [Doctoral Dissertation]. University of South Africa; 2014. Available from: http://hdl.handle.net/10500/14388


Universidade do Rio Grande do Sul

10. Marcolin, Carla Bonato. Text analytics in business environments: a managerial and methodological approach.

Degree: 2018, Universidade do Rio Grande do Sul

O processo de tomada de decisão, em diferentes ambientes gerenciais, enfrenta um momento de mudança no contexto organizacional. Nesse sentido, Business Analytics pode ser visto… (more)

Subjects/Keywords: Negócios; Business Analytics; Dados; Operational Research; Pesquisa operacional; LSA; Text data

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APA (6th Edition):

Marcolin, C. B. (2018). Text analytics in business environments: a managerial and methodological approach. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/174130

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Marcolin, Carla Bonato. “Text analytics in business environments: a managerial and methodological approach.” 2018. Thesis, Universidade do Rio Grande do Sul. Accessed August 13, 2020. http://hdl.handle.net/10183/174130.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Marcolin, Carla Bonato. “Text analytics in business environments: a managerial and methodological approach.” 2018. Web. 13 Aug 2020.

Vancouver:

Marcolin CB. Text analytics in business environments: a managerial and methodological approach. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10183/174130.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Marcolin CB. Text analytics in business environments: a managerial and methodological approach. [Thesis]. Universidade do Rio Grande do Sul; 2018. Available from: http://hdl.handle.net/10183/174130

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Arizona

11. Xie, Jiaheng. Big Data-Based Health Risk Analytics: A Deep Learning Approach .

Degree: 2020, University of Arizona

 Value-based healthcare is an emerging healthcare delivery model which incentivizes and rewards physicians for improved patient outcomes and quality of care, rather than the amount… (more)

Subjects/Keywords: Data mining; Deep learning; Design science; Health risk analytics; Text mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xie, J. (2020). Big Data-Based Health Risk Analytics: A Deep Learning Approach . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/641367

Chicago Manual of Style (16th Edition):

Xie, Jiaheng. “Big Data-Based Health Risk Analytics: A Deep Learning Approach .” 2020. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/641367.

MLA Handbook (7th Edition):

Xie, Jiaheng. “Big Data-Based Health Risk Analytics: A Deep Learning Approach .” 2020. Web. 13 Aug 2020.

Vancouver:

Xie J. Big Data-Based Health Risk Analytics: A Deep Learning Approach . [Internet] [Doctoral dissertation]. University of Arizona; 2020. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/641367.

Council of Science Editors:

Xie J. Big Data-Based Health Risk Analytics: A Deep Learning Approach . [Doctoral Dissertation]. University of Arizona; 2020. Available from: http://hdl.handle.net/10150/641367


University of Arizona

12. Liu, Xiao. Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance .

Degree: 2016, University of Arizona

 Pharmacovigilance is defined as the science and activities relating to the detection, assessment, understanding, and prevention of adverse drug events (WHO 2004). Post-approval adverse drug… (more)

Subjects/Keywords: Health Data Analytics; Pharmacovigilance; Text Mining; Management; Data Mining

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APA (6th Edition):

Liu, X. (2016). Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/620913

Chicago Manual of Style (16th Edition):

Liu, Xiao. “Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance .” 2016. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/620913.

MLA Handbook (7th Edition):

Liu, Xiao. “Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance .” 2016. Web. 13 Aug 2020.

Vancouver:

Liu X. Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance . [Internet] [Doctoral dissertation]. University of Arizona; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/620913.

Council of Science Editors:

Liu X. Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance . [Doctoral Dissertation]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/620913


Kansas State University

13. Lee, Kyu Seok. A Semi-Supervised Clustering Method for Payload Extraction.

Degree: MS, Department of Electrical and Computer Engineering, 2020, Kansas State University

 This thesis addresses payload extraction, the information extraction task of capturing the text of an article from a formatted document such as a PDF file,… (more)

Subjects/Keywords: structured information extraction; document analysis; text analytics; section classification; DBSCAN

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APA (6th Edition):

Lee, K. S. (2020). A Semi-Supervised Clustering Method for Payload Extraction. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/40657

Chicago Manual of Style (16th Edition):

Lee, Kyu Seok. “A Semi-Supervised Clustering Method for Payload Extraction.” 2020. Masters Thesis, Kansas State University. Accessed August 13, 2020. http://hdl.handle.net/2097/40657.

MLA Handbook (7th Edition):

Lee, Kyu Seok. “A Semi-Supervised Clustering Method for Payload Extraction.” 2020. Web. 13 Aug 2020.

Vancouver:

Lee KS. A Semi-Supervised Clustering Method for Payload Extraction. [Internet] [Masters thesis]. Kansas State University; 2020. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2097/40657.

Council of Science Editors:

Lee KS. A Semi-Supervised Clustering Method for Payload Extraction. [Masters Thesis]. Kansas State University; 2020. Available from: http://hdl.handle.net/2097/40657


Victoria University of Wellington

14. Wahid, Abdul. Improving Clustering Methods By Exploiting Richness Of Text Data.

Degree: 2016, Victoria University of Wellington

 Clustering is an unsupervised machine learning technique, which involves discovering different clusters (groups) of similar objects in unlabeled data and is generally considered to be… (more)

Subjects/Keywords: Text analytics; Text clustering; Multiview text clustering; Search result clustering; Clustering ensemble; Multi-Objective Evolutionary Clustering; Clustering; Text mining; Text clustering methods

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APA (6th Edition):

Wahid, A. (2016). Improving Clustering Methods By Exploiting Richness Of Text Data. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/5336

Chicago Manual of Style (16th Edition):

Wahid, Abdul. “Improving Clustering Methods By Exploiting Richness Of Text Data.” 2016. Doctoral Dissertation, Victoria University of Wellington. Accessed August 13, 2020. http://hdl.handle.net/10063/5336.

MLA Handbook (7th Edition):

Wahid, Abdul. “Improving Clustering Methods By Exploiting Richness Of Text Data.” 2016. Web. 13 Aug 2020.

Vancouver:

Wahid A. Improving Clustering Methods By Exploiting Richness Of Text Data. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10063/5336.

Council of Science Editors:

Wahid A. Improving Clustering Methods By Exploiting Richness Of Text Data. [Doctoral Dissertation]. Victoria University of Wellington; 2016. Available from: http://hdl.handle.net/10063/5336


Wright State University

15. Jadhav, Ashutosh. Knowledge Driven Search Intent Mining.

Degree: PhD, Computer Science and Engineering PhD, 2016, Wright State University

 Understanding users’ latent intents behind search queries is essential for satisfying a user’s search needs. Search intent mining can help search engines to enhance its… (more)

Subjects/Keywords: Computer Science; Search Intent Mining; Semantic Search; Health Informatics; Text Analytics; Semantic Web; Search Log Analysis; Social Media Analytics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jadhav, A. (2016). Knowledge Driven Search Intent Mining. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1464464707

Chicago Manual of Style (16th Edition):

Jadhav, Ashutosh. “Knowledge Driven Search Intent Mining.” 2016. Doctoral Dissertation, Wright State University. Accessed August 13, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464464707.

MLA Handbook (7th Edition):

Jadhav, Ashutosh. “Knowledge Driven Search Intent Mining.” 2016. Web. 13 Aug 2020.

Vancouver:

Jadhav A. Knowledge Driven Search Intent Mining. [Internet] [Doctoral dissertation]. Wright State University; 2016. [cited 2020 Aug 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1464464707.

Council of Science Editors:

Jadhav A. Knowledge Driven Search Intent Mining. [Doctoral Dissertation]. Wright State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1464464707


The Ohio State University

16. Ji, Xiaonan. An Integrated Framework of Text and Visual Analytics to Facilitate Information Retrieval towards Biomedical Literature.

Degree: PhD, Computer Science and Engineering, 2018, The Ohio State University

 Digitalized scientific literature, as a special type of text articles, is considered valuable knowledge repository in widespread academic and practical settings. Biomedical literature has specifically… (more)

Subjects/Keywords: Computer Science; Information Science; Biomedical Research; text analytics; visual analytics; information retrieval; biomedical literature retrieval; Evidence-based Medicine

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APA (6th Edition):

Ji, X. (2018). An Integrated Framework of Text and Visual Analytics to Facilitate Information Retrieval towards Biomedical Literature. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1524199589980214

Chicago Manual of Style (16th Edition):

Ji, Xiaonan. “An Integrated Framework of Text and Visual Analytics to Facilitate Information Retrieval towards Biomedical Literature.” 2018. Doctoral Dissertation, The Ohio State University. Accessed August 13, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1524199589980214.

MLA Handbook (7th Edition):

Ji, Xiaonan. “An Integrated Framework of Text and Visual Analytics to Facilitate Information Retrieval towards Biomedical Literature.” 2018. Web. 13 Aug 2020.

Vancouver:

Ji X. An Integrated Framework of Text and Visual Analytics to Facilitate Information Retrieval towards Biomedical Literature. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2020 Aug 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1524199589980214.

Council of Science Editors:

Ji X. An Integrated Framework of Text and Visual Analytics to Facilitate Information Retrieval towards Biomedical Literature. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1524199589980214


Brno University of Technology

17. Ďurista, Michal. Chatbot pro vyhledávání informací: Chatbot Capable of Information Search.

Degree: 2019, Brno University of Technology

 ''Chatbot'' is a very popular term in today's artificial intelligence era. Chatbots can be seen in business solutions more a more nowadays. The main goal… (more)

Subjects/Keywords: chatbot; spracovávanie prirodzeného jazyka; Microsoft Bot Framework; BotBuilder; Azure Search; Text Analytics; Lucene search; chatbot; natural language processing; Microsoft Bot Framework; BotBuilder; Azure Search; Text Analytics; Lucene search

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ďurista, M. (2019). Chatbot pro vyhledávání informací: Chatbot Capable of Information Search. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180234

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ďurista, Michal. “Chatbot pro vyhledávání informací: Chatbot Capable of Information Search.” 2019. Thesis, Brno University of Technology. Accessed August 13, 2020. http://hdl.handle.net/11012/180234.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ďurista, Michal. “Chatbot pro vyhledávání informací: Chatbot Capable of Information Search.” 2019. Web. 13 Aug 2020.

Vancouver:

Ďurista M. Chatbot pro vyhledávání informací: Chatbot Capable of Information Search. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/11012/180234.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ďurista M. Chatbot pro vyhledávání informací: Chatbot Capable of Information Search. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180234

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

18. Yang, Yi. Vistopic : a visual analytic system to explore document collections using hierarchical latent tree models.

Degree: 2016, Hong Kong University of Science and Technology

 Effective analysis of large text collections remains a challenging problem given the growing volume of available text data. Topic model, which is a type of… (more)

Subjects/Keywords: Text processing (Computer science) ; Mathematical models ; Information storage and retrieval systems ; Visual analytics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yang, Y. (2016). Vistopic : a visual analytic system to explore document collections using hierarchical latent tree models. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-80402 ; https://doi.org/10.14711/thesis-b1584781 ; http://repository.ust.hk/ir/bitstream/1783.1-80402/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yang, Yi. “Vistopic : a visual analytic system to explore document collections using hierarchical latent tree models.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed August 13, 2020. http://repository.ust.hk/ir/Record/1783.1-80402 ; https://doi.org/10.14711/thesis-b1584781 ; http://repository.ust.hk/ir/bitstream/1783.1-80402/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yang, Yi. “Vistopic : a visual analytic system to explore document collections using hierarchical latent tree models.” 2016. Web. 13 Aug 2020.

Vancouver:

Yang Y. Vistopic : a visual analytic system to explore document collections using hierarchical latent tree models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2020 Aug 13]. Available from: http://repository.ust.hk/ir/Record/1783.1-80402 ; https://doi.org/10.14711/thesis-b1584781 ; http://repository.ust.hk/ir/bitstream/1783.1-80402/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang Y. Vistopic : a visual analytic system to explore document collections using hierarchical latent tree models. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: http://repository.ust.hk/ir/Record/1783.1-80402 ; https://doi.org/10.14711/thesis-b1584781 ; http://repository.ust.hk/ir/bitstream/1783.1-80402/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


IUPUI

19. Koka, Keerthika. Feature selection through visualisation for the classification of online reviews.

Degree: 2017, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

The purpose of this work is to prove that the visualization is at least as powerful as the best automatic… (more)

Subjects/Keywords: Text Visual analytics; Data visualisation; Online reviews classification; Multi-dimensional data visualisation; Visual feature selection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Koka, K. (2017). Feature selection through visualisation for the classification of online reviews. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/12483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Koka, Keerthika. “Feature selection through visualisation for the classification of online reviews.” 2017. Thesis, IUPUI. Accessed August 13, 2020. http://hdl.handle.net/1805/12483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Koka, Keerthika. “Feature selection through visualisation for the classification of online reviews.” 2017. Web. 13 Aug 2020.

Vancouver:

Koka K. Feature selection through visualisation for the classification of online reviews. [Internet] [Thesis]. IUPUI; 2017. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1805/12483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Koka K. Feature selection through visualisation for the classification of online reviews. [Thesis]. IUPUI; 2017. Available from: http://hdl.handle.net/1805/12483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Arizona

20. Zhan, Yongcheng. Social Media Driven Public Health Informatics: Applications in Regulatory Science .

Degree: 2019, University of Arizona

 Health information technology (health IT) is an emerging interdisciplinary research field that brings innovative and unique opportunities as well as challenges for information systems (IS)… (more)

Subjects/Keywords: Data mining; Design science; Public health informatics; Regulatory science; Social media analytics; Text mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhan, Y. (2019). Social Media Driven Public Health Informatics: Applications in Regulatory Science . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/636594

Chicago Manual of Style (16th Edition):

Zhan, Yongcheng. “Social Media Driven Public Health Informatics: Applications in Regulatory Science .” 2019. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/636594.

MLA Handbook (7th Edition):

Zhan, Yongcheng. “Social Media Driven Public Health Informatics: Applications in Regulatory Science .” 2019. Web. 13 Aug 2020.

Vancouver:

Zhan Y. Social Media Driven Public Health Informatics: Applications in Regulatory Science . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/636594.

Council of Science Editors:

Zhan Y. Social Media Driven Public Health Informatics: Applications in Regulatory Science . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/636594


University of Tennessee – Knoxville

21. Martin, Dian I. A Semantic Unsupervised Learning Approach to Word Sense Disambiguation.

Degree: 2018, University of Tennessee – Knoxville

 Word Sense Disambiguation (WSD) is the identification of the particular meaning for a word based on the context of its usage. WSD is a complex… (more)

Subjects/Keywords: Word Sense Disambiguation; Natural Language Processing; Unsupervised Learning; Latent Semantic Analysis; Text Analytics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Martin, D. I. (2018). A Semantic Unsupervised Learning Approach to Word Sense Disambiguation. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/4950

Chicago Manual of Style (16th Edition):

Martin, Dian I. “A Semantic Unsupervised Learning Approach to Word Sense Disambiguation.” 2018. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed August 13, 2020. https://trace.tennessee.edu/utk_graddiss/4950.

MLA Handbook (7th Edition):

Martin, Dian I. “A Semantic Unsupervised Learning Approach to Word Sense Disambiguation.” 2018. Web. 13 Aug 2020.

Vancouver:

Martin DI. A Semantic Unsupervised Learning Approach to Word Sense Disambiguation. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2018. [cited 2020 Aug 13]. Available from: https://trace.tennessee.edu/utk_graddiss/4950.

Council of Science Editors:

Martin DI. A Semantic Unsupervised Learning Approach to Word Sense Disambiguation. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2018. Available from: https://trace.tennessee.edu/utk_graddiss/4950

22. Drzadzewski, Grzegorz. An Online Analytical System for Multi-Tagged Document Collections.

Degree: 2015, University of Waterloo

 The New York Times Annotated Corpus and the ACM Digital Library are two prototypical examples of document collections in which each document is tagged with… (more)

Subjects/Keywords: text analytics; topic model; OLAP; faceted browsing; document warehouse; result diversification; document tags; selective materialization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Drzadzewski, G. (2015). An Online Analytical System for Multi-Tagged Document Collections. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10030

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Drzadzewski, Grzegorz. “An Online Analytical System for Multi-Tagged Document Collections.” 2015. Thesis, University of Waterloo. Accessed August 13, 2020. http://hdl.handle.net/10012/10030.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Drzadzewski, Grzegorz. “An Online Analytical System for Multi-Tagged Document Collections.” 2015. Web. 13 Aug 2020.

Vancouver:

Drzadzewski G. An Online Analytical System for Multi-Tagged Document Collections. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10012/10030.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Drzadzewski G. An Online Analytical System for Multi-Tagged Document Collections. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/10030

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

23. Chumongkhon, Visanu. ONLINE CUSTOMER REVIEW ANALYTICS.

Degree: 2019, Penn State University

 Analysis of customers reviews has become a valuable asset for business owners due to the significant increase in the volume of user reviews in online… (more)

Subjects/Keywords: Text Classification; Machine Learning; Sentiment Analysis; Topic Modeling; Online Review Analytics; Support Vector Machine; Convolutional Neural Network; VADER

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chumongkhon, V. (2019). ONLINE CUSTOMER REVIEW ANALYTICS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16056vzc15

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chumongkhon, Visanu. “ONLINE CUSTOMER REVIEW ANALYTICS.” 2019. Thesis, Penn State University. Accessed August 13, 2020. https://submit-etda.libraries.psu.edu/catalog/16056vzc15.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chumongkhon, Visanu. “ONLINE CUSTOMER REVIEW ANALYTICS.” 2019. Web. 13 Aug 2020.

Vancouver:

Chumongkhon V. ONLINE CUSTOMER REVIEW ANALYTICS. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Aug 13]. Available from: https://submit-etda.libraries.psu.edu/catalog/16056vzc15.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chumongkhon V. ONLINE CUSTOMER REVIEW ANALYTICS. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16056vzc15

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Weaver, Joshua D. Predicting Employee Performance Using Text Data from Resumes.

Degree: 2017, Seattle Pacific University

Text analytics using term frequency was proposed as an extension of biodata for predicting job performance and addressing criticisms of biodata and predictor methods—that they… (more)

Subjects/Keywords: employee selection; text analytics; cognitive ability; computer science; biographical data; employee recruiting; Industrial and Organizational Psychology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Weaver, J. D. (2017). Predicting Employee Performance Using Text Data from Resumes. (Thesis). Seattle Pacific University. Retrieved from https://digitalcommons.spu.edu/iop_etd/9

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Weaver, Joshua D. “Predicting Employee Performance Using Text Data from Resumes.” 2017. Thesis, Seattle Pacific University. Accessed August 13, 2020. https://digitalcommons.spu.edu/iop_etd/9.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Weaver, Joshua D. “Predicting Employee Performance Using Text Data from Resumes.” 2017. Web. 13 Aug 2020.

Vancouver:

Weaver JD. Predicting Employee Performance Using Text Data from Resumes. [Internet] [Thesis]. Seattle Pacific University; 2017. [cited 2020 Aug 13]. Available from: https://digitalcommons.spu.edu/iop_etd/9.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Weaver JD. Predicting Employee Performance Using Text Data from Resumes. [Thesis]. Seattle Pacific University; 2017. Available from: https://digitalcommons.spu.edu/iop_etd/9

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brock University

25. Abduvaitova, Lola. Learning Product Attributes from User-Generated Content for Dynamic Promotion Strategies .

Degree: Faculty of Business Programs, Brock University

 One widely adopted product attribute classification in the literature is the “Search” versus “Experience” dichotomy. Because the costs involved in searching and experiencing products vary… (more)

Subjects/Keywords: Classification of products; Search and experience goods; Text analytics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Abduvaitova, L. (n.d.). Learning Product Attributes from User-Generated Content for Dynamic Promotion Strategies . (Thesis). Brock University. Retrieved from http://hdl.handle.net/10464/14130

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Abduvaitova, Lola. “Learning Product Attributes from User-Generated Content for Dynamic Promotion Strategies .” Thesis, Brock University. Accessed August 13, 2020. http://hdl.handle.net/10464/14130.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Abduvaitova, Lola. “Learning Product Attributes from User-Generated Content for Dynamic Promotion Strategies .” Web. 13 Aug 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Abduvaitova L. Learning Product Attributes from User-Generated Content for Dynamic Promotion Strategies . [Internet] [Thesis]. Brock University; [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10464/14130.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Abduvaitova L. Learning Product Attributes from User-Generated Content for Dynamic Promotion Strategies . [Thesis]. Brock University; Available from: http://hdl.handle.net/10464/14130

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


University of North Texas

26. Collins, Heidi. The Use of Data and Readability Analytics to Assist Instructor and Administrator Decisions in Support of Higher Education Student Writing Skills.

Degree: 2018, University of North Texas

 In 2016 employers hiring four-year college graduates indicate that 27.8% have deficiencies in written communication. Postsecondary learning objectives should focus on improving specific writing skills… (more)

Subjects/Keywords: Text Readability; Learning Analytics; Decision Models; Diagnostic Tools; Student Writing Skills; Higher Education; Learning Management System

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Collins, H. (2018). The Use of Data and Readability Analytics to Assist Instructor and Administrator Decisions in Support of Higher Education Student Writing Skills. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1157590/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Collins, Heidi. “The Use of Data and Readability Analytics to Assist Instructor and Administrator Decisions in Support of Higher Education Student Writing Skills.” 2018. Thesis, University of North Texas. Accessed August 13, 2020. https://digital.library.unt.edu/ark:/67531/metadc1157590/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Collins, Heidi. “The Use of Data and Readability Analytics to Assist Instructor and Administrator Decisions in Support of Higher Education Student Writing Skills.” 2018. Web. 13 Aug 2020.

Vancouver:

Collins H. The Use of Data and Readability Analytics to Assist Instructor and Administrator Decisions in Support of Higher Education Student Writing Skills. [Internet] [Thesis]. University of North Texas; 2018. [cited 2020 Aug 13]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157590/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Collins H. The Use of Data and Readability Analytics to Assist Instructor and Administrator Decisions in Support of Higher Education Student Writing Skills. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157590/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Violos, Ioannis. Κατηγοριοποίηση κειμένων χρησιμοποιώντας το μοντέλο αναπαράστασης γράφων Ν-γραμμάτων σε υψηλής συχνότητας ροής δεδομένων και εφαρμογές σε μέσα κοινωνικής δικτύωσης.

Degree: 2018, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

 A prominent challenge in our information age is the classification over high frequency data streams. In this research, we propose an innovative and high-accurate text(more)

Subjects/Keywords: Κατηγοριοποίηση κειμένων; Συσταδοποίηση κειμένων; Ροή κειμένων; Γράφοι Ν- γραμμάτων; BEAM; Υπολογιστικό νέφος; Ανάλυση κοινωνικών δικτύων; Συναισθηματική ανάλυση; Αναγνώριση κοινοτήτων; Αναγνώριση γεγονότων; Συστήματα συστάσεων; Text classification; Text clustering; Text streaming; N-gram graph; Beam; Cloud computing; Social media analytics; Sentiment analysis; Communities detection; Event detection; Recommendation system


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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Violos, I. (2018). Κατηγοριοποίηση κειμένων χρησιμοποιώντας το μοντέλο αναπαράστασης γράφων Ν-γραμμάτων σε υψηλής συχνότητας ροής δεδομένων και εφαρμογές σε μέσα κοινωνικής δικτύωσης. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/44442

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Violos, Ioannis. “Κατηγοριοποίηση κειμένων χρησιμοποιώντας το μοντέλο αναπαράστασης γράφων Ν-γραμμάτων σε υψηλής συχνότητας ροής δεδομένων και εφαρμογές σε μέσα κοινωνικής δικτύωσης.” 2018. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed August 13, 2020. http://hdl.handle.net/10442/hedi/44442.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Violos, Ioannis. “Κατηγοριοποίηση κειμένων χρησιμοποιώντας το μοντέλο αναπαράστασης γράφων Ν-γραμμάτων σε υψηλής συχνότητας ροής δεδομένων και εφαρμογές σε μέσα κοινωνικής δικτύωσης.” 2018. Web. 13 Aug 2020.

Vancouver:

Violos I. Κατηγοριοποίηση κειμένων χρησιμοποιώντας το μοντέλο αναπαράστασης γράφων Ν-γραμμάτων σε υψηλής συχνότητας ροής δεδομένων και εφαρμογές σε μέσα κοινωνικής δικτύωσης. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10442/hedi/44442.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Violos I. Κατηγοριοποίηση κειμένων χρησιμοποιώντας το μοντέλο αναπαράστασης γράφων Ν-γραμμάτων σε υψηλής συχνότητας ροής δεδομένων και εφαρμογές σε μέσα κοινωνικής δικτύωσης. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2018. Available from: http://hdl.handle.net/10442/hedi/44442

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Venkatachalam, Ramiya. Surfacing Personas from Enterprise Social Media to Enhance Engagement Visibility.

Degree: MS, Computer Science and Engineering, 2013, The Ohio State University

 Enterprise social media potentially plays a pivotal role in capturing useful insights about employee behavior. This thesis explores how, with the availability of social media… (more)

Subjects/Keywords: Computer Engineering; Computer Science; text analytics; engagement persona; triplestore; summarization

…3 1.1.2 Rule-based Text Analytics… …42 5.2.1 Entity Analytics Layer using Rule-based Text Analytics (IBM SystemT)… …76 Appendix A: Rule-based Text Analytics… …helpdesk service. 1.1.2 Rule-based Text Analytics In data mining, the process of extracting named… …called as text analytics. Rule-based text analytics relies on gigantic dictionaries and… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Venkatachalam, R. (2013). Surfacing Personas from Enterprise Social Media to Enhance Engagement Visibility. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1370882249

Chicago Manual of Style (16th Edition):

Venkatachalam, Ramiya. “Surfacing Personas from Enterprise Social Media to Enhance Engagement Visibility.” 2013. Masters Thesis, The Ohio State University. Accessed August 13, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1370882249.

MLA Handbook (7th Edition):

Venkatachalam, Ramiya. “Surfacing Personas from Enterprise Social Media to Enhance Engagement Visibility.” 2013. Web. 13 Aug 2020.

Vancouver:

Venkatachalam R. Surfacing Personas from Enterprise Social Media to Enhance Engagement Visibility. [Internet] [Masters thesis]. The Ohio State University; 2013. [cited 2020 Aug 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1370882249.

Council of Science Editors:

Venkatachalam R. Surfacing Personas from Enterprise Social Media to Enhance Engagement Visibility. [Masters Thesis]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1370882249

29. Pinho, Roberto Dantas de. Espaço incremental para a mineração visual de conjuntos dinâmicos de documentos.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2009, University of São Paulo

Representações visuais têm sido adotadas na exploração de conjuntos de documentos, auxiliando a extração de conhecimento sem que seja necessária a análise individual de milhares… (more)

Subjects/Keywords: Conjuntos dinâmicos; Data Streams; Knowledge Domain Visualization; Mineração de dados; Mineração de textos; Mineração visual de dados; Projeção; Projections; Text Mining; Visual Analytics; Visual Data Mining; Visualização computacional; Visualization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pinho, R. D. d. (2009). Espaço incremental para a mineração visual de conjuntos dinâmicos de documentos. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092009-123807/ ;

Chicago Manual of Style (16th Edition):

Pinho, Roberto Dantas de. “Espaço incremental para a mineração visual de conjuntos dinâmicos de documentos.” 2009. Doctoral Dissertation, University of São Paulo. Accessed August 13, 2020. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092009-123807/ ;.

MLA Handbook (7th Edition):

Pinho, Roberto Dantas de. “Espaço incremental para a mineração visual de conjuntos dinâmicos de documentos.” 2009. Web. 13 Aug 2020.

Vancouver:

Pinho RDd. Espaço incremental para a mineração visual de conjuntos dinâmicos de documentos. [Internet] [Doctoral dissertation]. University of São Paulo; 2009. [cited 2020 Aug 13]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092009-123807/ ;.

Council of Science Editors:

Pinho RDd. Espaço incremental para a mineração visual de conjuntos dinâmicos de documentos. [Doctoral Dissertation]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092009-123807/ ;


University of North Texas

30. Zougris, Konstantinos. Sociological Applications of Topic Extraction Techniques: Two Case Studies.

Degree: 2015, University of North Texas

 Limited research has been conducted with regards to the applicability of topic extraction techniques in Sociology. Addressing the modern methodological opportunities, and responding to the… (more)

Subjects/Keywords: text analytics; sociology of media; sociology of knowledge; hybrid methods; Latent semantic indexing.; Content analysis (Communication); Mass media  – Sociological aspects.; Knowledge, Sociology of.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zougris, K. (2015). Sociological Applications of Topic Extraction Techniques: Two Case Studies. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc804982/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zougris, Konstantinos. “Sociological Applications of Topic Extraction Techniques: Two Case Studies.” 2015. Thesis, University of North Texas. Accessed August 13, 2020. https://digital.library.unt.edu/ark:/67531/metadc804982/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zougris, Konstantinos. “Sociological Applications of Topic Extraction Techniques: Two Case Studies.” 2015. Web. 13 Aug 2020.

Vancouver:

Zougris K. Sociological Applications of Topic Extraction Techniques: Two Case Studies. [Internet] [Thesis]. University of North Texas; 2015. [cited 2020 Aug 13]. Available from: https://digital.library.unt.edu/ark:/67531/metadc804982/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zougris K. Sociological Applications of Topic Extraction Techniques: Two Case Studies. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc804982/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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