Summary of the paper
| Title | Discovering Polarity for Ambiguous and Objective Adjectives through Adverbial Modification |
|---|---|
| Authors | Irene Russo |
| Abstract | The field of opinion mining has emerged in recent years as an excitingchallenge for computational linguistics: investigating how humans expresssubjective judgments through linguistic means paves the way for automaticrecognition and summarization of opinionated texts, with the possibility ofdetermining the polarities and strengths of opinions asserted. Sentimentlexicons are basic resources for investigating the orientation of a text thatcan be performed considering polarized words included in it but they encode the polarity of word types instead that the polarity of word tokens. Theexpression of an opinion through the choice of lexical items iscontext-sensitive and sentiment lexicons could be integrated with syntagmaticpatterns that emerge as significant with statistical analyses. In this paper itwill be proposed a corpus analysis of adverbially modified ambiguous (e.g.fast, rich) and objective adjectives (e.g. chemical, political) - that can beoccasionally exploited to express a subjective judgments -. Comparing polarityencoded in sentiment lexicons and the results of a logistic regressionanalysis, the role of adverbial cues for polarity detection will be evaluatedon the basis of a small sample of sentences manually annotated. |
| Language | Semantics |
| Topics | Emotion Recognition/Generation, Corpus (creation, annotation, etc.), Semantics |
Full paper  |
Discovering Polarity for Ambiguous and Objective Adjectives through Adverbial Modification |
| Bibtex | @InProceedings{RUSSO10.847, author = {Irene Russo}, title = {Discovering Polarity for Ambiguous and Objective Adjectives through Adverbial Modification}, 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} } |