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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Bibliographic Details
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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