sentiment Ninja: sentiment mining on Twitter based topic and location

Tetske Avontuur, Eveline Brink, Iuliia Malyk, Derec Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Social media have become increasingly popular in recent years. The amount of data makes it hard to get an overview of what people are saying. We designed
an app that allows users to get an overview of big data on Twitter. We allow users to explore opinions by searching for keywords and allowing them to filter
the results based on location. We believe that this application might be interesting for many different target groups such as consumers, companies and
journalists
Original languageEnglish
Title of host publicationDesign and semantics of form and movement. 8th International Conference on Design and Semantics of Form and Movement (DeSForM 2013), 22-25 September 2013, Wuxi, China
EditorsL.L. Chen, T. Djajadiningrat, L.M.G. Feijs, S. Fraser, J. Hu, S. Kyffin, D. Steffen
Pages175-181
Number of pages7
Publication statusPublished - 2013
Event8th International Conference on Design and Semantics of Form and Movement (DeSForM 2013) - Wuxi, China
Duration: 22 Sept 201325 Sept 2013
http://desform2013.id.tue.nl/

Conference

Conference8th International Conference on Design and Semantics of Form and Movement (DeSForM 2013)
Abbreviated titleDeSForM 2013
Country/TerritoryChina
CityWuxi
Period22/09/1325/09/13
Internet address

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