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

July 23, 2020 · Entered Twilight · 🏛 International Workshop on Semantic Evaluation

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Repo contents: .gitignore, CM Sentiment Analysis.ipynb, LICENSE, README.md, requirements.txt

Authors Aditya Srivastava, V. Harsha Vardhan arXiv ID 2007.12076 Category cs.CL: Computation & Language Cross-listed cs.IR, cs.LG, cs.NE Citations 6 Venue International Workshop on Semantic Evaluation Repository https://github.com/IamAdiSri/hcms-semeval20 ⭐ 3 Last Checked 1 month ago

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.