Summary of the paper
| Title | Annotations for Opinion Mining Evaluation in the Industrial Context of the DOXA project |
|---|---|
| Authors | Patrick Paroubek, Alexander Pak and Djamel Mostefa |
| Abstract | After presenting opinion and sentiment analysis state of the art and the DOXA project, we review the few evaluation campaigns that have dealt in the past with opinion mining. Then we present the two level opinion and sentiment model that we will use for evaluation in the DOXA project and the annotation interface we use for hand annotating a reference corpus. We then present the corpus which will be used on DOXA and report on the hand-annotation task on a corpus of comments on video games and the solution adopted to obtain a sufficient level of inter-annotator agreement. |
| Topics | Emotion Recognition/Generation, Information Extraction, Information Retrieval, Text mining |
Full paper |
Annotations for Opinion Mining Evaluation in the Industrial Context of the DOXA project |
Slides |
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| Bibtex | @InProceedings{PAROUBEK10.422, author = {Patrick Paroubek and Alexander Pak and Djamel Mostefa}, title = {Annotations for Opinion Mining Evaluation in the Industrial Context of the DOXA project}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |