Difficulties and Improvements to Graph-Based Lexical Sentiment Analysis Using LISA

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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Bibliographic Details
Main Author: Fares, Mireille (author)
Other Authors: Moufarrej, Angela (author), Jreij, Eliane (author), Tekli, Joe (author), Grosky, William (author)
Format: conferenceObject
Published: 2019
Subjects:
Cognitive science > Data processing > Congresses
Computational intelligence > Congresses
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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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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