Sentiment Analysis with Khasi Low-Resource Language through Generation of Sentiment Words using Machine Learning

Authors

  • Banteilang Mukhim Eastern Hill University
  • Arnab Kumar Maji Eastern Hill University
  • Sufal Das Eastern Hill University

DOI:

https://doi.org/10.13053/cys-29-3-5915

Keywords:

Sentiment analysis, khasi sentiment words, emotion mining, khasi language, khasi sentiment classification

Abstract

Sentiment Analysis is a Natural Language Processing (NLP) technique to find out the opinion and classify the opinion expressed in a text data with polarity (e.g., positive, negative and neutral). Khasi NLP is just starting to take shape, and ways back as compared to some Indian languages. Sentiment analysis with low resource language is a challenging task as the input data has limited annotated data. The proposed method suggests employing machine translation for the Khasi-English language pair to extract emotion-carrying words from Khasi text using an English emotion word dictionary. Despite the lack of specific sentiment analysis resources for Khasi, this approach enables the identification of sentiment-bearing phrases. After generation of Khasi sentiment words, a transformer-based model is considered for sentiment analysis as a validation tool.

Downloads

Published

2025-09-28

Issue

Vol. 29 No. 3 (2025): Vol 29 No 3 (2025)

Section

Articles of the Thematic Section

License 

Hereby I transfer exclusively to the Journal "Computación y 
Sistemas", published by the Computing Research Center (CIC-IPN),
the Copyright of the aforementioned paper. I also accept that these 
rights will not be transferred to any other publication, in any other 
format, language or other existing means of developing.
I certify that the paper has not been previously disclosed or simultaneo
usly submitted to any other publication, and that it does not contain 
material whose publication would violate the Copyright or other 
proprietary rights of any person, company or institution. I certify that 
I have the permission from the institution or company where I work or 
study to publish this work.
The representative author accepts the responsibility for the publication
of this paper on behalf of each and every one of the authors. 
This transfer is subject to the following conditions:
  • The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
  • Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
  • Authors may include working as part of his thesis, for non-profit distribution only.