An experimental evaluation of prior polarities in sentiment lexicons
| Autor: | Ercan Solak, Ali Bugra Kanburoglu |
|---|---|
| Přispěvatelé: | Işık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Computer Engineering, Kanburoğlu, Ali Buğra, Solak, Ercan |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Computer science
Experimental evaluation 02 engineering and technology computer.software_genre Ranking (information retrieval) Task (project management) Sentiment analysis 0202 electrical engineering electronic engineering information engineering Ranking task Information retrieval Data mining health care economics and organizations 060201 languages & linguistics Pipelines business.industry Prior polarities Conferences 06 humanities and the arts Pairwise comparisons Correlation Electronic mail Sentiment lexicons Ranking 0602 languages and literature 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing |
| Zdroj: | ICDM Workshops |
| Popis: | We present the results of an experiment to assess the validity of prior polarities available in sentiment lexicons. We designed a ranking task that was elicited through pairwise comparisons and compared the results to those predicted by two popular sentiment lexicons. We find that the experiment results show a moderate level of agreement between the lexicons and human judgments. Publisher's Version |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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