Text Analytics: Sentiment Analysis in Twitter

Course Description

In the past decade, new forms of communication, such as microblogging and text messaging have emerged and become ubiquitous. While there is no limit to the range of information conveyed by tweets and texts, often these short messages are used to share opinions and sentiments that people have about what is going on in the world around them. Being able to analyse the sentiment conveyed in tweets gives rise to many applications and allows a deeper understanding of current trends and the public opinion on current topics.

This seminar is being held in the format of a Mini-Workshop: After an introductory lecture, each student is expected to propose an experiment in the area of Twitter sentiment analysis in form of a short research statement or working hypothesis. In the course of the semester, students carry out their experiments and finally write a paper consisting of a literature overview and a description of their work. Papers are mutually peer-reviewed. In a final workshop, the work is presented in a 20 minute presentation.

Note: In contrast to the original plans, this seminar will be run in a 3 CP version. The requirements will be adapted accordingly. The overall format remains as planned.

Literature

Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, Veselin Stoyanov, Alan Ritter, Theresa Wilson: "SemEval-2013 Task 2: Sentiment Analysis in Twitter". Proceedings of the Seventh International Workshop on Semantic Evaluation. p. 312-320. June 2013. Atlanta, Georgia, USA.  

Additional literature will be provided in the course.

Expectations

Each student is expected to

  • carry out an experiment
  • submit a term paper
  • review other student papers
  • give a 15 min. talk in class + 5 min. Q&A afterwards
  • hand in a revised final version of your paper

Materials and Forum

Materials will be provided in the moodle course. The enrollment key will be provided in the first session. 

Timetable

The seminar takes place Thursdays, 13:30 - 15:00, S2|02 C110.

  • Introductory session 17.04.2014
  • Topic assignment 24.04.2014
  • Term paper deadline TBA
  • Reviews due TBA
  • Mini-Workshop TBA
  • Final paper deadline TBA

Lecturer

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