Self-supervised Sentiment Classification based on Semantic Similarity Measures and Contextual Embedding using metaheuristic optimizer
Author:
Affiliation:
1. Islamic Azad University,Central Tehran Branch,Department of Computer Engineering,Tehran,Iran
2. Tarbiat Modares University,Department of Electrical and Computer Engineering,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10043829/10043862/10043914.pdf?arnumber=10043914
Reference31 articles.
1. Distributed representations of sentences and documents;le;31st International Conference on Machine Learning ICML 2014,2014
2. Using Sentiment Analysis for Pseudo-Relevance Feedback in Social Book Search
3. A weakly supervised approach to Chinese sentiment classification using partitioned self-training
4. Universal, unsupervised (rule-based), uncovered sentiment analysis
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