Summary of the paper
| Title | Toward a Unifying Model for Opinion, Sentiment and Emotion Information Extraction |
|---|---|
| Authors | Amel Fraisse and Patrick Paroubek |
| Abstract | This paper presents a logical formalization of a set 20 semantic categories related to opinion, emotion and sentiment. Our formalization is based on the BDI model (Belief, Desire and Intetion) and constitues a first step toward a unifying model for subjective information extraction. The separability of the subjective classes that we propose was assessed both formally and on two subjective reference corpora. |
| Topics | Lexicon, Lexical Database, Emotion Recognition/Generation |
Full paper  |
Toward a Unifying Model for Opinion, Sentiment and Emotion Information Extraction |
| Bibtex | @InProceedings{FRAISSE14.1010, author = {Amel Fraisse and Patrick Paroubek}, title = {Toward a Unifying Model for Opinion, Sentiment and Emotion Information Extraction}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |