Name
Title | ||
|---|---|---|
An empirical study of sentence features for subjectivity and polarity classification. |
Abstract | ||
|---|---|---|
•We extend and combine the body of empirical evidence regarding sentence subjectivity and polarity classification.•We provide a comprehensive analysis of different sentence features using data from multiple benchmarks.•Our analysis suggests possible use cases of the features considered and gives insights into their potential applicability.•Some features claimed as effective in the literature have little value once the models incorporate other elemental features. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.ins.2014.05.009 | Information Sciences |
Keywords | Field | DocType |
Sentiment Analysis,Opinion Mining,Sentence-level analysis,Subjectivity classification,Polarity classification | Empirical evidence,Subjectivity,Sentiment analysis,Natural language processing,Artificial intelligence,Sentence,Empirical research,Mathematics | Journal |
Volume | ISSN | Citations |
280 | 0020-0255 | 16 |
PageRank | References | Authors |
0.69 | 41 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose M. Chenlo | 1 | 45 | 3.64 |
| David E. Losada | 2 | 326 | 40.63 |