Language Independent Sentiment Analysis
December 27, 2019 ยท Declared Dead ยท ๐ 2019 International Conference on Advances in the Emerging Computing Technologies (AECT)
"No code URL or promise found in abstract"
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Authors
Muhammad Haroon Shakeel, Turki Alghamidi, Safi Faizullah, Imdadullah Khan
arXiv ID
1912.11973
Category
cs.CL: Computation & Language
Citations
23
Venue
2019 International Conference on Advances in the Emerging Computing Technologies (AECT)
Last Checked
4 months ago
Abstract
Social media platforms and online forums generate rapid and increasing amount of textual data. Businesses, government agencies, and media organizations seek to perform sentiment analysis on this rich text data. The results of these analytics are used for adapting marketing strategies, customizing products, security and various other decision makings. Sentiment analysis has been extensively studied and various methods have been developed for it with great success. These methods, however apply to texts written in a specific language. This limits applicability to a limited demographic and a specific geographic region. In this paper we propose a general approach for sentiment analysis on data containing texts from multiple languages. This enables all the applications to utilize the results of sentiment analysis in a language oblivious or language-independent fashion.
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