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 DOXAproject, we review the few evaluation campaigns that have dealt in the pastwith opinion mining. Then we present the two level opinion and sentiment modelthat we will use for evaluation in the DOXA project and the annotationinterface we use for hand annotating a reference corpus. We then present thecorpus which will beused on DOXA and report on the hand-annotation task on a corpus of comments onvideo games and the solution adopted to obtain a sufficient level ofinter-annotator agreement. |
| Language | Text mining |
| 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 |
| Bibtex | @InProceedings{PAROUBEK10.422, author = {Patrick Paroubek, Alexander Pak and Djamel Mostefa}, title = {Annotations for Opinion Mining Evaluation in the Industrial Context of the DOXA project}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |