Summary of the paper
| Title | SentiSense: An easily scalable concept-based affective lexicon for sentiment analysis |
|---|---|
| Authors | Jorge Carrillo de Albornoz, Laura Plaza and Pablo Gervás |
| Abstract | This paper presents SentiSense, a concept-based affective lexicon. It is intended to be used in sentiment analysis-related tasks, specially in polarity and intensity classification and emotion identification. SentiSense attaches emotional meanings to concepts from the WordNet lexical database, instead of terms, thus allowing to address the word ambiguity problem using one of the many WordNet-based word sense disambiguation algorithms. SentiSense consists of 5,496 words and 2,190 synsets labeled with an emotion from a set of 14 emotional categories, which are related by an antonym relationship. SentiSense has been developed semi-automatically using several semantic relations between synsets in WordNet. SentiSense is endowed with a set of tools that allow users to visualize the lexicon and some statistics about the distribution of synsets and emotions in SentiSense, as well as to easily expand the lexicon. SentiSense is available for research purposes. |
| Topics | Emotion Recognition/Generation, Lexicon, lexical database, Semantics |
Full paper  |
SentiSense: An easily scalable concept-based affective lexicon for sentiment analysis |
| Bibtex | @InProceedings{CARRILLODEALBORNOZ12.236, author = {Jorge Carrillo de Albornoz and Laura Plaza and Pablo Gervás}, title = {SentiSense: An easily scalable concept-based affective lexicon for sentiment analysis}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |