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Sonic Shapes: Visualizing vocalexpression
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In: http://social.cs.uiuc.edu/papers/pdfs/13-pietrowicz-icad.pdf (2013)
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Widespread worry and the stock market
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In: http://social.cs.uiuc.edu/people/gilbert/pub/icwsm10.worry.gilbert.pdf (2010)
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Blogs Are Echo Chambers: Blogs Are Echo Chambers
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In: http://social.cs.uiuc.edu/papers/pdfs/hicss09-echo-gilbert.pdf (2009)
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CodeSaw: A Social Visualization of Distributed Software Development
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In: http://social.cs.uiuc.edu/papers/pdfs/codesaw-interact2007.pdf (2007)
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General Terms
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In: http://social.cs.uiuc.edu/papers/pdfs/1022p-hailpern.pdf
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ACES: Aphasia Emulation, Realism, and the Turing Test
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In: http://social.cs.uiuc.edu/papers/pdfs/11-ASSETS-acesTuring.pdf
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ACES: A Cross-Discipline Platform and Method for Communication and Language Research
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In: http://social.cs.uiuc.edu/papers/pdfs/13-hailpern-cscw.pdf
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Designing Visualizations to Facilitate Multisyllabic Speech with Children with Autism and Speech Delays
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In: http://social.cs.uiuc.edu/papers/pdfs/12-hailpern-dis.pdf
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Phonetic Shapes:
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In: http://social.cs.uiuc.edu/papers/pdfs/pietrowicz_CHIEA12.pdf
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| 10 |
Was It Worth It? Summarizing and Navigating User Reviews with Natural Language Methods
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Abstract:
Popular products often attract an astonishing number of user reviews. Sifting through them by the thousands can be quite a headache, one that has inspired solutions like unique phrase identification (e.g., Yelp) and helpfulness ratings (e.g., Amazon). While clearly useful, these techniques only capitalize on a small subset of the reviews, and cannot answer questions like, “do these people care about the same things I care about? ” Talking Points is our solution to these problems. It employs natural language methods to summarize thousands of user reviews into a navigable, browserbased interface. In addition to describing our novel algorithm for feature extraction and sentiment classification, this paper presents the results of an exploratory user study of Talking Points. Our study suggests that users explore reviews far longer with Talking Points than with traditional methods. More surprisingly, in randomized sessions users seemed persuaded to choose those products augmented with
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Keyword:
nlp; Social media; summarization; user reviews
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.204.7024
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Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media Widespread Worry and the Stock Market
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In: http://www.aaai.org/ocs/index.php/ICWSM/ICWSM10/paper/viewFile/1513/1833/
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| 12 |
A 3: HCI Coding Guideline for Research Using Video Annotation to Assess Behavior of Nonverbal Subjects with Computer-Based Intervention 8
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In: http://social.cs.uiuc.edu/papers/pdfs/TASSETS_2009.pdf
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