Abstract
Handling long queries can involve either reducing its size by retaining only useful sentences, or decomposing the long query into several short queries based on their content. A proper sentence classification improves the utility of these procedures. Can Sentiment Analysis has a role in sentence classification? This paper analysis the correlation between sentiment analysis and sentence classification in long book-search queries. Also, it studies the similarity in writing style between book reviews and sentences in book-search queries. To accomplish this study, a semi-supervised method for sentiment intensity prediction, and a language model based on book reviews are presented. In addition to graphical illustrations reflecting the feedback of this study, followed by interpretations and conclusions.
| Original language | English |
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| Title of host publication | International Conference on Computational Linguistics and Intelligent Text Processing |
| Publication status | Published - 28 Mar 2019 |
| Event | 20th International Conference on Computational Linguistics and Intelligent Text Processing - La Rochelle, France Duration: 7 Apr 2019 → 13 Apr 2019 http://www.cicling.org/2019/ |
Conference
| Conference | 20th International Conference on Computational Linguistics and Intelligent Text Processing |
|---|---|
| Abbreviated title | CICLing 2019 |
| Country/Territory | France |
| City | La Rochelle |
| Period | 7/04/19 → 13/04/19 |
| Internet address |
Keywords
- sentiment intensity
- language model
- search queries
- books
- word embedding
- seed-words
- book reviews