Abstract
Opinion Mining in Twitter
The amount of data in social networks and microblogs, like e.g. Twitter, inceased enormously in the recent years.
Hence, it makes sense to analyse and make use of this data. An important application is for instance the automatic interpretation of product reviews or the automatic recognition of the sentiment or opinion of the author of an investigated document. This kind of text analysis belongs to the areas Opinion Mining and Sentiment Analysis and is an extension of Natural Language Processing (NLP).
In this seminar we want to investigate state-of-the-art Opinion Mining methods applied to Twitter. Each student gets one recent paper from this area and shall present, interprete and classify it. For this purpose a seminar paper and a talk has to be prepared.
Instructor: Ruth Janning