Polarity Classification of Malayalam Document-A Rule Based Approach
Abstract
The most emerging area in NLP now a days is Sentiment Analysis (SA) which is a cognitive process in which the user’s feelings and emotions are extracted. It has a variety of applications. There has been a lot of works published for universal languages like English, works on dialectal languages like Malayalam is comparatively less. But importance of Malayalam is increasing on social medias and shopping sites. Malayalam belongs to Dravidian family of Languages. In 2013 it has been declared as a classical language by Indian Government. Discuss about the sentimental analysis of Malayalam language. Malayalam words are classified into positive, negative and ambiguous words. Rule based approach is used and it mainly focused on the opinionated words in each text.
Keywords:
Rule-based approach, Sentiment Analysis, NLPPublished
Issue
Section
License
Copyright (c) 2023 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Alan K George, Arpita Mary Mathew, Asin Mary Jacob, Elizabeth Antony, Shiney Thomas, Classification of Lung Cancer Subtypes Using Deep Learning Model , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Alen Siju Mudakodil, Alwin J Thomas, Awindas R, Chris Reji Kuriakose, Sarju S, NeuroRoad: An AI-Assisted Role-Based Learning Management System for Neurodivergent Education , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- ANU ROSE JOY, Christeena Antony, Dona Mariyam John, Anuja Sara Mathew, Christeen Mareia Paul, UnLocking Emotion Recognition in ASD Children: Analyzing Facial Expressions , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Ansamol Varghese, Milu Mary Jacob, Shilpa Mariam James, Reeba Rebecca Varghese, Vimal sajan George, A Review on Integrating IoT and Robotics for Improved Care , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jibin Jacob, Joel John, John Ashwin Delmon, Farhan Zuhair, Sinciya P.O, LOCAL WANDERER , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Kaveri S, Pooja Satheesh, Kesiya Susan John, Reubel K Wilson, Dr. Jacob John, Predictive Maintenance of Machines Using IoT and Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Tiny Molly v, Alanta Maria Shaji , Adithya Biju , Anjali Krishna Satheesh , Athulya Pradeep, Literature Survey On Cloudsentry AI , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Amina Manaf , Ance Maria Joseph , Angel Joy , Anjaly Anilkumar , K S Rekha, Driver Drowsiness Detection Using Python , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Prof.Pavitha P.P , S Abhinav, Abida P Vaidyan , B Parvathi, A Critical Evaluation on Line of Sight Based Data Transmission A Review , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jacob George, Jerin Xavier, Jovin J George, Joyel Xavier, Subini Therese Babu, Pharmaceutical Sales Forecasting using Machine Learning , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
You may also start an advanced similarity search for this article.
