Unsupervised word-level affect analysis and propagation in a lexical knowledge graph
Lexical sentiment analysis (LSA) is of central importance in extracting and analyzing user moods and views on the Web. Most existing LSA approaches have utilized supervised learning techniques applied on corpus-based statistics, requiring extensive training data, training time, and large statistical...
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| Main Author: | Fares, Mireille (author) |
|---|---|
| Other Authors: | Moufarrej, Angela (author), Jreij, Eliane (author), Tekli, Joe (author), Grosky, William (author) |
| Format: | article |
| Published: |
2019
|
| Online Access: | http://hdl.handle.net/10725/15976 https://doi.org/10.1016/j.knosys.2018.12.017 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.sciencedirect.com/science/article/pii/S0950705118306105 |
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