- From Sentiment to Reputation: ILPS at RepLab 2012
- CEUR Workshop Proceedings
- Number of pages
- Document type
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
We report on our participation in the profiling task of the first edition of the CLEF RepLab evaluation initiative. We assume that a statement - such as a tweet - that carries negative sentiment can have a positive impact on the reputation of the entity it talks about (and vice versa). Our model directly captures this impact by observing the reactions - such as replies - the statement solicits. We present the assumptions behind our model and the model itself. We find that given the current setting, results on the test set are strongly entity-dependent and that the test data is very different from the trial data. We conclude with a proposal on how to create a task that avoids such dataset dependent problems.
- Final publisher version
- Other links
- issue contents
- Proceedings title: CLEF 2012: CLEF2012 Working Notes : working notes for CLEF 2012 Conference: Rome, Italy, September 17-20,
Editors: P. Forner, J. Karlgren, C. Womser-Hacker, N. Ferro
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.