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Exploration of Twitter Sentiments and Classification by using Deep CNN and Naive Bayes
2020
International journal of recent technology and engineering
Sentiment evaluation of tweets help the enterprises to evaluate public emotion towards the activities or products associated with them. Most of the research targeted to obtain sentiment capabilities with the help of analyzing syntactic and lexical features which can be expressed through sentiment phrases, emoticons, exclamation marks etc. In the proposed paper we introduce a phrase embedding received by means of unsupervised learning(deep learning) on large twitter texts which uses contextual
doi:10.35940/ijrte.b3963.079220
fatcat:ya4wko2llvevxi7xde4ntkmpjm