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

• URL: http://arxiv.org/abs/2007.12076v1
• Date: Thu, 23 Jul 2020 15:39:53 GMT
• Title: HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts
• Authors: Aditya Srivastava, V. Harsha Vardhan
• Abstract summary: We describe our submission to the Sentimix Hindi-English task involving sentiment classification of code-mixed texts. With an F1 score of 67.1%, we demonstrate that simple convolution and attention may well produce reasonable results.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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