Name
Abstract | ||
|---|---|---|
SentiWordNet is an important lexical resource supporting sentiment analysis in opinion mining applications. In this paper, we propose a novel approach to construct a Vietnamese SentiWordNet (VSWN). SentiWordNet is typically generated from WordNet in which each synset has numerical scores to indicate its opinion polarities. Many previous studies obtained these scores by applying a machine learning method to WordNet. However, Vietnamese WordNet is not available unfortunately by the time of this paper. Therefore, we propose a method to construct VSWN from a Vietnamese dictionary, not from WordNet. We show the effectiveness of the proposed method by generating a VSWN with 39,561 synsets automatically. The method is experimentally tested with 266 synsets with aspect of positivity and negativity. It attains a competitive result compared with English SentiWordNet that is 0.066 and 0.052 differences for positivity and negativity sets respectively. |
Year | Venue | Field |
|---|---|---|
2014 | CoRR | Computer science,Sentiment analysis,Natural language processing,Artificial intelligence,Negativity effect,Vietnamese,WordNet |
DocType | Volume | ISSN |
Journal | abs/1412.8010 | The 40th Conference of the Korea Information Processing Society,
pp. 745-748, April 2014, South Korea |
Citations | PageRank | References |
4 | 0.43 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuan-Son Vu | 1 | 4 | 1.11 |
| Seong-Bae Park | 2 | 4 | 1.11 |