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HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts

2020-07-23 15:39:53
Aditya Srivastava, V. Harsha Vardhan
arXiv_CL
           
Abstract

Problems involving code-mixed language are often plagued by a lack of resources and an absence of materials to perform sophisticated transfer learning with. In this paper we describe our submission to the Sentimix Hindi-English task involving sentiment classification of code-mixed texts, and with an F1 score of 67.1%, we demonstrate that simple convolution and attention may well produce reasonable results.

Abstract (translated)

URL

https://arxiv.org/abs/2007.12076

PDF

https://arxiv.org/pdf/2007.12076.pdf

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