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2021 EACL EACL 2021

Amrita@LT-EDI-EACL2021: Hope Speech Detection on Multilingual Text

Abstract

AbstractAnalysis and deciphering code-mixed data is imperative in academia and industry, in a multilingual country like India, in order to solve problems apropos Natural Language Processing. This paper proposes a bidirectional long short-term memory (BiLSTM) with the attention-based approach, in solving the hope speech detection problem. Using this approach an F1-score of 0.73 (9thrank) in the Malayalam-English data set was achieved from a total of 31 teams who participated in the competition.

Authors

Thara S, Ravi teja Tasubilli, Kothamasu Sai rahul

Topics

Natural Language Processing > Applications > Text Classification Natural Language Processing > Resources & Methods > Multilingual NLP

Keywords

attention mechanism hope speech detection code-mixed text bidirectional lstm
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