Round Corner
Department of Computer and Information Science


Sentiment Analysis in Tweets

In recent years, micro-blogging has become prevalent, and the Twitter API allows users to collect a corpus from their micro-blogosphere. The posts, named tweets, are limited to 140 characters, and are often used to express positive or negative emotions to a person or product. In this project, the goal is to use the Twitter corpus to do sentiment analysis, that is, to classify tweets as to whether they express positive or negative opinions, or are neutral/objective. The work could build on previous master theses at NTNU, and potentially aim to participate in a shared task competition on Twitter Sentiment Analysis.



Björn Gambäck Björn Gambäck
315 IT-bygget
735 93354 
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