Name
Abstract | ||
|---|---|---|
Sentiment analysis has become a prominent area of research in computer science. It has numerous practical applications; e.g., evaluating customer satisfaction, identifying product promoters. Many methods employed in this task require language resources such as sentiment lexicons, which are unavailable for the Polish language. Such lexicons contain words annotated with their emotional polarization, but the manual creation of sentiment lexicons is very tedious. Therefore, this paper addresses this issue and describes a new method of building sentiment lexicons automatically based on recommending services. Next, the built lexicons were used in the task of sentiment classification. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.7494/csci.2016.17.2.163 | COMPUTER SCIENCE-AGH |
Keywords | Field | DocType |
sentiment analysis, sentiment lexicons, polarity lexicons, sentiment classification | Customer satisfaction,Information retrieval,Sentiment analysis,Computer science,Polish,Natural language processing,Artificial intelligence | Journal |
Volume | Issue | ISSN |
17 | 2 | 1508-2806 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bogdan Gliwa | 1 | 77 | 8.62 |
| Anna Zygmunt | 2 | 95 | 11.91 |
| Michal Dabrowski | 3 | 0 | 0.34 |