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You searched for subject:(textklassificering). Showing records 1 – 7 of 7 total matches.

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Uppsala University

1. Johansson, Kim. Exponerade hatkommentarer : En studie av svensk hatkommentarsklassificering.

Degree: Linguistics and Philology, 2016, Uppsala University

I detta arbete presenteras hatfulla kommentarer på internet som ett sam- hällsproblem som vi bör göra något åt. Webbplatsen Exponerat.net presenteras som en källa… (more)

Subjects/Keywords: exponerat.net; hatkommentarer; SVM; textklassificering; blogg; näthat; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

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

APA (6th Edition):

Johansson, K. (2016). Exponerade hatkommentarer : En studie av svensk hatkommentarsklassificering. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-296181

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):

Johansson, Kim. “Exponerade hatkommentarer : En studie av svensk hatkommentarsklassificering.” 2016. Thesis, Uppsala University. Accessed August 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-296181.

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

MLA Handbook (7th Edition):

Johansson, Kim. “Exponerade hatkommentarer : En studie av svensk hatkommentarsklassificering.” 2016. Web. 04 Aug 2020.

Vancouver:

Johansson K. Exponerade hatkommentarer : En studie av svensk hatkommentarsklassificering. [Internet] [Thesis]. Uppsala University; 2016. [cited 2020 Aug 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-296181.

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

Council of Science Editors:

Johansson K. Exponerade hatkommentarer : En studie av svensk hatkommentarsklassificering. [Thesis]. Uppsala University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-296181

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

2. Jonsson, Max. Deep Learning för klassificering av kundsupport-ärenden.

Degree: Computer Science, 2020, University of Gävle

Företag och organisationer som tillhandahåller kundsupport via e-post kommer över tid att samla på sig stora mängder textuella data. Tack vare kontinuerliga framsteg inom… (more)

Subjects/Keywords: Natural Language Processing; Text Classification; Convolutional Neural Network; Long Short Time Memory; Naturlig språkbehandling; Textklassificering; Convolutional Neural Network; Long Short Time Memory; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Jonsson, M. (2020). Deep Learning för klassificering av kundsupport-ärenden. (Thesis). University of Gävle. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-32687

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):

Jonsson, Max. “Deep Learning för klassificering av kundsupport-ärenden.” 2020. Thesis, University of Gävle. Accessed August 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-32687.

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

MLA Handbook (7th Edition):

Jonsson, Max. “Deep Learning för klassificering av kundsupport-ärenden.” 2020. Web. 04 Aug 2020.

Vancouver:

Jonsson M. Deep Learning för klassificering av kundsupport-ärenden. [Internet] [Thesis]. University of Gävle; 2020. [cited 2020 Aug 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-32687.

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

Council of Science Editors:

Jonsson M. Deep Learning för klassificering av kundsupport-ärenden. [Thesis]. University of Gävle; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-32687

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


KTH

3. Enerstrand, Simon. Klassificering av kvitton med hjälp av maskininlärning.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

Maskininlärning nyttjas inom fler och fler områden. Det har potential att ersätta många repetitiva arbetsuppgifter, eller åtminstone förenkla dem. Dokumenthantering inom ekonomisystem är ett… (more)

Subjects/Keywords: Machine learning; Text classification; Tensorflow; Convolutional Neural Network; Python; Maskininlärning; Textklassificering; Tensorflow; Convolutional Neural Network; Python; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Enerstrand, S. (2019). Klassificering av kvitton med hjälp av maskininlärning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261144

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):

Enerstrand, Simon. “Klassificering av kvitton med hjälp av maskininlärning.” 2019. Thesis, KTH. Accessed August 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261144.

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

MLA Handbook (7th Edition):

Enerstrand, Simon. “Klassificering av kvitton med hjälp av maskininlärning.” 2019. Web. 04 Aug 2020.

Vancouver:

Enerstrand S. Klassificering av kvitton med hjälp av maskininlärning. [Internet] [Thesis]. KTH; 2019. [cited 2020 Aug 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261144.

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

Council of Science Editors:

Enerstrand S. Klassificering av kvitton med hjälp av maskininlärning. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261144

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

4. Grancharova, Mila. Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

With the development in the area of machine learning, society has become more dependent on applications that build on machine learning techniques. Despite this,… (more)

Subjects/Keywords: text classification; supervised learning; preprocessing; textklassificering; övervakad inlärning; förbehandlingstekniker; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Grancharova, M. (2018). Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241435

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):

Grancharova, Mila. “Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification.” 2018. Thesis, KTH. Accessed August 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241435.

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

MLA Handbook (7th Edition):

Grancharova, Mila. “Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification.” 2018. Web. 04 Aug 2020.

Vancouver:

Grancharova M. Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification. [Internet] [Thesis]. KTH; 2018. [cited 2020 Aug 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241435.

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

Council of Science Editors:

Grancharova M. Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241435

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

5. Bergens, Simon. Skräppost eller skinka? : En jämförande studie av övervakade maskininlärningsalgoritmer för spam och ham e-mailklassifikation.

Degree: Software Engineering, 2019, Uppsala UniversityGotland University

  Spam messages in the form of e-mail is a growing problem in today's businesses. It is a problem that costs time and resources to… (more)

Subjects/Keywords: Maskininlärning; Spam e-mail; Textklassificering; Spam e-mailklassificering; Other Engineering and Technologies not elsewhere specified; Övrig annan teknik

Textklassificering Ett stort fält inom maskininlärning är förmågan att kunna klassificera text. Det är ett… …automatisk textklassificering” har använts på olika sätt inom litteratur för att syfta på olika… …identifiera potentiella kategorier för dokumentet. Andra syftar på att automatisk textklassificering… …under de identifierade kategorierna. Ytterligare har automatisk textklassificering använts för… …textklassificering är val av algoritm samt mängd och varians av data som ska användas för att träna upp… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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

APA (6th Edition):

Bergens, S. (2019). Skräppost eller skinka? : En jämförande studie av övervakade maskininlärningsalgoritmer för spam och ham e-mailklassifikation. (Thesis). Uppsala UniversityGotland University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389384

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):

Bergens, Simon. “Skräppost eller skinka? : En jämförande studie av övervakade maskininlärningsalgoritmer för spam och ham e-mailklassifikation.” 2019. Thesis, Uppsala UniversityGotland University. Accessed August 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389384.

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

MLA Handbook (7th Edition):

Bergens, Simon. “Skräppost eller skinka? : En jämförande studie av övervakade maskininlärningsalgoritmer för spam och ham e-mailklassifikation.” 2019. Web. 04 Aug 2020.

Vancouver:

Bergens S. Skräppost eller skinka? : En jämförande studie av övervakade maskininlärningsalgoritmer för spam och ham e-mailklassifikation. [Internet] [Thesis]. Uppsala UniversityGotland University; 2019. [cited 2020 Aug 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389384.

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

Council of Science Editors:

Bergens S. Skräppost eller skinka? : En jämförande studie av övervakade maskininlärningsalgoritmer för spam och ham e-mailklassifikation. [Thesis]. Uppsala UniversityGotland University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389384

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

6. Suta, Adin. Multilabel text classification of public procurements using deep learning intent detection.

Degree: Mathematical Statistics, 2019, KTH

Textual data is one of the most widespread forms of data and the amount of such data available in the world increases at a… (more)

Subjects/Keywords: Natural language processing; text classification; deep learning; applied mathematics; recurrent neural network; word embedding; Maskininlärning; textklassificering; artificiella neruonnät; tillämpad matematik; Probability Theory and Statistics; Sannolikhetsteori och statistik

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

APA (6th Edition):

Suta, A. (2019). Multilabel text classification of public procurements using deep learning intent detection. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252558

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):

Suta, Adin. “Multilabel text classification of public procurements using deep learning intent detection.” 2019. Thesis, KTH. Accessed August 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252558.

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

MLA Handbook (7th Edition):

Suta, Adin. “Multilabel text classification of public procurements using deep learning intent detection.” 2019. Web. 04 Aug 2020.

Vancouver:

Suta A. Multilabel text classification of public procurements using deep learning intent detection. [Internet] [Thesis]. KTH; 2019. [cited 2020 Aug 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252558.

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

Council of Science Editors:

Suta A. Multilabel text classification of public procurements using deep learning intent detection. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252558

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

7. Lipecki, Johan. The Effect of Data Quantity on Dialog System Input Classification Models.

Degree: Health Informatics and Logistics, 2018, KTH

This paper researches how different amounts of data affect different word vector models for classification of dialog system user input. A hypothesis is tested… (more)

Subjects/Keywords: Chatbot; Chatterbot; Virtual Assistant; Dialog System; Natural Language Understanding; Word Embedding; Word Vector Models; Text Classification; Chattbot; Virtuell Assistent; Dialogsystem; Naturlig språkbehandling; Ordinbäddning; Ordvektormodeller; Textklassificering; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

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

APA (6th Edition):

Lipecki, J. (2018). The Effect of Data Quantity on Dialog System Input Classification Models. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237282

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):

Lipecki, Johan. “The Effect of Data Quantity on Dialog System Input Classification Models.” 2018. Thesis, KTH. Accessed August 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237282.

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

MLA Handbook (7th Edition):

Lipecki, Johan. “The Effect of Data Quantity on Dialog System Input Classification Models.” 2018. Web. 04 Aug 2020.

Vancouver:

Lipecki J. The Effect of Data Quantity on Dialog System Input Classification Models. [Internet] [Thesis]. KTH; 2018. [cited 2020 Aug 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237282.

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

Council of Science Editors:

Lipecki J. The Effect of Data Quantity on Dialog System Input Classification Models. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237282

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

.