Name
Abstract | ||
|---|---|---|
This work presents an study on Sentiment Analysis on Twitter data for the Portuguese language. It evaluates the impact of different preprocessing techniques, Portuguese polarity lexicons and negation models showing low impact of preprocessing and negation modelling in classification of tweets. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-28885-2_28 | PROPOR |
Keywords | Field | DocType |
portuguese language,different preprocessing technique,twitter data,sentiment analysis,negation model,low impact,portuguese polarity lexicon,negation modelling | Negation,Sentiment analysis,Computer science,Portuguese,Preprocessor,Natural language processing,Artificial intelligence | Conference |
Citations | PageRank | References |
13 | 1.16 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marlo Souza | 1 | 24 | 10.34 |
| Renata Vieira | 2 | 82 | 11.44 |