Paper: Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter

ACL ID E12-1062
Title Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

Microblogging websites such as Twitter offer a wealth of insight into a popu- lation?s current mood. Automated ap- proaches to identify general sentiment to- ward a particular topic often perform two steps: Topic Identification and Sentiment Analysis. Topic Identification first identi- fies tweets that are relevant to a desired topic (e.g., a politician or event), and Sen- timent Analysis extracts each tweet?s atti- tude toward the topic. Many techniques for Topic Identification simply involve select- ing tweets using a keyword search. Here, we present an approach that instead uses distant supervision to train a classifier on the tweets returned by the search. We show that distant supervision leads to improved performance in the Topic Identification task as well in the downstream Sentiment...