Name
Abstract | ||
|---|---|---|
In this paper we introduce a simplified approach to sentiment analysis: a lexicon-driven method based upon only adjectives and adverbs. This method is compared in cross-validation with other known techniques and then compared directly to the gold standard, a sample of human subjects asked to deliver the same class of judgments computed by the method. We prove that the method is similar in accuracy and precision with the other methods. We finally argue that the approach we employ is more valid than others for it is scalable, and exportable to languages other than English. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-03056-8_12 | ICWE Workshops |
Field | DocType | Citations |
Data mining,Computer science,Sentiment analysis,Natural language processing,Artificial intelligence,Lexical analysis,Accuracy and precision,Scalability | Conference | 0 |
PageRank | References | Authors |
0.34 | 14 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Cristani | 1 | 1928 | 109.03 |
| Matteo Cristani | 2 | 259 | 34.75 |
| Anna Pesarin | 3 | 39 | 3.82 |
| Claudio Tomazzoli | 4 | 25 | 11.36 |
| Margherita Zorzi | 5 | 81 | 16.16 |