Alpha-Beta UNet based Classification Technique for Sentiment Analysis in Natural Language Processing (NLP)
Keywords:
UNet, sentiment analysis, NLP, classification, machine learningAbstract
Sentiment analysis in any document or applications deals with classification of user’s opinions into negative, positive, or neutral statements. This process is widely applied in many recommendation engines, text analysis, market research, business intelligence, computational linguistics, and counselling. There are many methods of sentiment classification like regression methods. The proposed method utilizes a novel CNN based approach for classification of data called the alpha-beta pruned UNet towards classifying the various emotions into its categories. The proposed method has given better classification accuracy.
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Copyright (c) 2022 Nagashree N, Derek Allen
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