Difficulties and Improvements to Graph-Based Lexical Sentiment Analysis Using LISA
Lexical sentiment analysis (LSA) underlines a family of methods combining natural language processing, machine learning, or graph navigation techniques to identify the underlying sentiments or emotions carried in textual data. In this paper, we introduce LISA, an unsupervised word-level knowledge gr...
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| Main Author: | Fares, Mireille (author) |
|---|---|
| Other Authors: | Moufarrej, Angela (author), Jreij, Eliane (author), Tekli, Joe (author), Grosky, William (author) |
| Format: | conferenceObject |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10725/16275 https://doi.org/10.1109/ICCC.2019.00008 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/document/8816968 |
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