Name
Title | ||
|---|---|---|
Learning Subjectivity Phrases missing from Resources through a Large Set of Semantic Tests |
Abstract | ||
|---|---|---|
In recent years, blogs and social networks have particularly boosted interests for opinion mining research. In order to satisfy real-scale applicative needs, a main task is to create or to enhance lexical and semantic resources on evaluative language. Classical resources of the area are mostly built for english, they contain simple opinion word markers and are far to cover the lexical richness of this linguistic phenomenon. We propose a new method, applied on french, to enhance automatically an opinion word lexicon. This learning method relies on linguistic uses of internet users and on semantic tests to infer the degree of subjectivity of many new adjectives, nouns, verbs, noun phrases, verbal phrases which are usually forgotten by other resources. |
Year | Venue | Keywords |
|---|---|---|
2010 | LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | noun phrase,satisfiability,opinion mining,social network,noun |
Field | DocType | Citations |
Noun phrase,Determiner phrase,Social network,Computer science,Sentiment analysis,Subjectivity,Noun,Lexicon,Natural language processing,Artificial intelligence,Linguistics,The Internet | Conference | 0 |
PageRank | References | Authors |
0.34 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthieu Vernier | 1 | 2 | 2.40 |
| Laura Monceaux | 2 | 51 | 9.99 |
| Béatrice Daille | 3 | 306 | 34.40 |