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York University

1. Siddiqui, Nadia Ashfaq. A Natural Language Question Answering System for Exploring Online Conversations.

Degree: MA -MA, Information Systems and Technology, 2021, York University

URL: http://hdl.handle.net/10315/38243 

The proliferation of social media has resulted in the exponential growth of on- line conversations. Due to the volume and complexity of conversations, it is often extremely difficult to gain insights from such conversations. This dissertation hy-pothesizes that synergetic integration of natural language processing with informa-tion visualization techniques can help users to better fulfill their information needs. More specifically, we developed a question-answering method that allows the user to ask questions about a conversation and then automatically answers the question by highlighting results in a visual interface. The visual interface, named ConVisQA, was developed by extending ConVis which visually summarizes a conversation by providing an overview of topics and sentiment information. We demonstrate the effectiveness of our approach through a user study with blog readers. The dis-sertation concludes with a user study comparing our interface with a traditional interface for blog reading as well as considerations for future work. Advisors/Committee Members: Prince, Enamul Hoque (advisor).

Subjects/Keywords: Natural Language Processing; InfoViz; Question Answering

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

APA (6th Edition):

Siddiqui, N. A. (2021). A Natural Language Question Answering System for Exploring Online Conversations. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/38243

Chicago Manual of Style (16th Edition):

Siddiqui, Nadia Ashfaq. “A Natural Language Question Answering System for Exploring Online Conversations.” 2021. Masters Thesis, York University. Accessed April 22, 2021. http://hdl.handle.net/10315/38243.

MLA Handbook (7th Edition):

Siddiqui, Nadia Ashfaq. “A Natural Language Question Answering System for Exploring Online Conversations.” 2021. Web. 22 Apr 2021.

Vancouver:

Siddiqui NA. A Natural Language Question Answering System for Exploring Online Conversations. [Internet] [Masters thesis]. York University; 2021. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10315/38243.

Council of Science Editors:

Siddiqui NA. A Natural Language Question Answering System for Exploring Online Conversations. [Masters Thesis]. York University; 2021. Available from: http://hdl.handle.net/10315/38243

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