Abstract
With the phenomenal increase of social media usage today, organizations and governments have more aggressively turned to analysing user-generated content freely available on social media platforms in order to gain insights and sentiments on products, brands and policies. One challenge faced by social media analytics researchers in this respect is the habit of users frequently expressing their opinions using code-mixed text in their posts and comments. Code-mixing refers to the mixing of words from multiple languages in a single sentence. The languages used may include both formal and informal languages, with at least one of the languages being a resource-scarce language. This paper presents a review on methods that have been proposed and used for sentiment analysis of code-mixed social media text.
Keywords: code-mixed, resource-scarce, sentiment analysis, social media
Authors
Kathleen Tan Swee Neo [1] ; Lim Tong Ming [2]
[1][2] Department of Computer Science and Embedded Systems, Tunku Abdul Rahman University of Management and Technology, Kuala Lumpur, Malaysia
[1]tansn@tarc.edu.my; [2]limtm@tarc.edu.my
Cite Me
Plain Text:
T.S.N.Kathleen, T.M.Lim, "A Review on Sentiment Analysis of Resource-Scarce Languages and Code-Mixed Social Media Text," International Conference on Digital Transformation and Applications (ICDXA) 2020, 2020, pp. 76-81, doi: https://doi.org/10.56453/icdxa.2020.1006.
BibTex:
@INPROCEEDINGS{ICDXA2020T106,
author={Kathleen, Tan Swee Neo and Lim, Tong Ming},
booktitle={International Conference on Digital Transformation and Applications (ICDXA) 2020},
title={A Review on Sentiment Analysis of Resource-Scarce Languages and Code-Mixed Social Media Text},
year={2020},
volume={},
number={},
pages={76-81},
doi={https://doi.org/10.56453/icdxa.2020.1006}}
