TOWARDS THE APPLICATION OF SPEECH ACT THEORY TO OPINION MINING
TOWARDS THE APPLICATION OF SPEECH ACT THEORY TO OPINION MINING
Author(s): Agnieszka PluwakSubject(s): Foreign languages learning, Lexis, Computational linguistics, Western Slavic Languages
Published by: Instytut Slawistyki Polskiej Akademii Nauk
Keywords: sentiment analysis; implicit sentiment; speech acts;
Summary/Abstract: The paper refers to the pragmatics’ perspective on opinion mining in Polish and English, inspired by the discrepancy between the coverage of sentiment analysis and the market demand. An analysis of speech acts expressed in opinion texts reveals that almost half of all opinions include ways of indirect evaluation that might not get extracted while applying traditional methods of sentiment analysis based on direct evaluative vocabulary and polarity lexicons. Coding of sentiment with respect to speech acts could vastly broaden data mining results within an NLPsystem.
Journal: Cognitive Studies | Études cognitives
- Issue Year: 2016
- Issue No: 16
- Page Range: 33-44
- Page Count: 12
- Language: English
