Name
Abstract | ||
|---|---|---|
We describe a set of tools, resources, and experiments for opinion classification in business-related datasources in two languages. In particular we concentrate on SentiWordNet text interpretation to produce word, sentence, and text-based sentiment features for opinion classification. We achieve good results in experiments using supervised learning machine over syntactic and sentiment-based features. We also show preliminary experiments where the use of summaries before opinion classification provides competitive advantage over the use of full documents. |
Year | Venue | Field |
|---|---|---|
2010 | LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | Computer science,Competitive advantage,Supervised learning,Artificial intelligence,Natural language processing,Syntax,Sentence |
DocType | Citations | PageRank |
Conference | 12 | 0.64 |
References | Authors | |
14 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Horacio Saggion | 1 | 1119 | 112.62 |
| Adam Funk | 2 | 314 | 17.90 |