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Application of Latent Dirichlet Allocation (LDA) for clustering financial tweets
2021
E3S Web of Conferences
Sentiment classification is one of the hottest research areas among the Natural Language Processing (NLP) topics. While it aims to detect sentiment polarity and classification of the given opinion, requires a large number of aspect extractions. However, extracting aspect takes human effort and long time. To reduce this, Latent Dirichlet Allocation (LDA) method have come out recently to deal with this issue.In this paper, an efficient preprocessing method for sentiment classification is
doi:10.1051/e3sconf/202129701071
fatcat:e6eerbzhpnfirihqqhtuwdd7jq