BIJCS 2021
DOI: 10.54646/bijcs.005
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Hindi/Bengali Sentiment Analysis using Transfer Learning and Joint Dual Input Learning with Self Attention

Abstract: Sentiment Analysis typically refers to using natural language processing, text analysis, and computational linguistics to extract effect and emotion-based information from text data. Our work explores how we can effectively use deep neural networks in transfer learning and joint dual input learning settings to effectively classify sentiments and detect hate speech in Hindi and Bengali data. We start by training Word2Vec word embeddings for Hindi HASOC dataset and Bengali hate speech [1] and then train LSTM and… Show more

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