Visual Text Analytics for Online Conversations: Design, Evaluation, and Applications
| Title | Visual Text Analytics for Online Conversations: Design, Evaluation, and Applications |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Hoque, Enamul |
| Conference Name | Companion Publication of the 21st International Conference on Intelligent User Interfaces |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4140-0 |
| Keywords | asynchronous conversation, composability, computer-mediated communication, Human Behavior, interactive topic modeling, Metrics, pubcrawl, Scalability, text analytics, text visualization |
| Abstract | Analyzing and gaining insights from a large amount of textual conversations can be quite challenging for a user, especially when the discussions become very long. During my doctoral research, I have focused on integrating Information Visualization (InfoVis) with Natural Language Processing (NLP) techniques to better support the user's task of exploring and analyzing conversations. For this purpose, I have designed a visual text analytics system that supports the user exploration, starting from a possibly large set of conversations, then narrowing down to a subset of conversations, and eventually drilling-down to a set of comments of one conversation. While so far our approach is evaluated mainly based on lab studies, in my on-going and future work I plan to evaluate our approach via online longitudinal studies. |
| URL | http://doi.acm.org/10.1145/2876456.2876461 |
| DOI | 10.1145/2876456.2876461 |
| Citation Key | hoque_visual_2016 |