Name
Title | ||
|---|---|---|
Opinion Polarity Detection Using Word Sense Disambiguation To Determine The Polarity Of Opinions |
Abstract | ||
|---|---|---|
In this paper, we present an unsupervised method for determining the polarity of opinions. It uses a word sense disambiguation algorithm to determine the correct sense of the words in the opinion. The method is also based on SentiWordNet and General Inquirer to determine the polarity of the senses. Due to the characteristics of these external resources, the proposed method does not depend on the knowledge domain and can be extended to other languages. In the evaluation carried out over the SemEval Task No. 14: Affective Text data our method outperforms both unsupervised and supervised systems presented in this task. |
Year | Venue | Keywords |
|---|---|---|
2010 | ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1: ARTIFICIAL INTELLIGENCE | Opinion Mining, Polarity Detection, Word Sense Disambiguation |
Field | DocType | Citations |
SemEval,Computer science,Natural language processing,Artificial intelligence,Word-sense disambiguation | Conference | 3 |
PageRank | References | Authors |
0.39 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tamara Martín-Wanton | 1 | 22 | 3.02 |
| Aurora Pons-Porrata | 2 | 232 | 20.30 |
| Andrés Montoyo-Guijarro | 3 | 3 | 1.06 |
| Alexandra Balahur | 4 | 593 | 40.19 |