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Deep Learning Based Techniques for Sentiment Analysis: A Survey
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AI
DOI：10.31449/inf.v45i7.3674.png)
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Abstract
En 中文
The automated representation of human language using a variety of techniques is called Natural Language Processing (NLP). Improvements to NLP applications are important and can be accomplished using a variety of methods, such as 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
Journal
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