Tweetviz
| Autor: | Bas Sijtsma, Pernilla Qvarfordt, Francine Chen |
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| Rok vydání: | 2016 |
| Předmět: |
Demographics
Computer science business.industry Sentiment analysis 020207 software engineering 02 engineering and technology Social media analytics World Wide Web Information visualization 020204 information systems Business intelligence 0202 electrical engineering electronic engineering information engineering Social media InformationSystems_MISCELLANEOUS business |
| Zdroj: | SIGIR |
| DOI: | 10.1145/2911451.2911470 |
| Popis: | Social media offers potential opportunities for businesses to extract business intelligence. This paper presents Tweetviz, an interactive tool to help businesses extract actionable information from a large set of noisy Twitter messages. Tweetviz visualizes the tweet sentiment of business locations, identifies other business venues that Twitter users visit, and estimates some simple demographics of the Twitter users frequenting a business. A user study to evaluate the system's ability indicates that Tweetviz can provide an overview of a business's issues and sentiment as well as information aiding users in creating customer profiles. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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