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Deep learning based techniques for sentiment analysis: A survey - 2021

Deep learning based techniques for sentiment analysis: A survey

Survey paper on Deep learning based techniques for sentiment analysis

Research Area:  Machine Learning

Abstract:

The automated representation of human language using a number of techniques is called Natural Language Processing (NLP). Improvements to NLP applications are important and can be done using a variety of methods, including graphs, deep neural networks, and word embedding. Sentiment classification, which attempts to automatically classify opinionated text as positive, negative, or neutral, is a fundamental activity of sentiment analysis. Sentiment analysis methods focused on deep learning over the past five years are analyzed in this review

Keywords:  
natural nanguage processing
sentiment analysis
deep learning

Author(s) Name:  Wael Etaiwi, Dima Suleiman, Arafat Awajan

Journal name:  Informatica

Conferrence name:  

Publisher name:  Slovenian Society Informatika

DOI:  10.31449/inf.v45i7.3674

Volume Information: