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, NLP
Published
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
- Dona S Plavelil, A Devanandha, Haritha H Kurupp, Jissin k Jose, DETECTION OF ALZHEIMER’S DISEASE AND ASSISTANCE , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr.Sinciya P.O, Aaron Varughese Bino, Anamin Fathima Anish, Aathira Krishna, Dona Maria Joseph, Unveiling Stress through Facial Expressions: A Literature Review on Detection Methods , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Prinu Vinod Nair, Rohit Subash Nair, Samuel Thomas Mathew S, Ansamol Varghese, Weed detection using YOLOv3 and elimination using organic weedicides with Live feed on Web App , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Muhammed Saalim O.S, Fathima Parvin M.A, Albiya Hameed, Hiba Fathima T.S, Amritha Soloman, AGRISEN Precise irrigation System and Smart health monitoring system , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Sandra Raju, Dr S Sruthy, A Reliable Method for Detecting Brain Tumors in Magnetic Resonance Images Utilizing EfficientNet , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Joel Lee George, Karthik S Kumar , Riya Merce Thomas, Roshan Roy Varghese, Simy Mary Kurian, Epidemo A Machine Learning Regression-Based , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Arun Robin, Tijo Thomas Titus, Ms. Minu Cherian, Improved Handwritten Digit Recognition Using Deep Learning Technique , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- Shiney Thomas, Elsa George, Alphonsa Francis, Anna Job, Ann Maria James, Wildlife Detection And Recognition Using YOLO V8 , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Dr. Indu John, Gauri Santhosh, Jesna Susan Reji, Abdul Musawir, Glady Prince, Detection of Autism Spectrum Disorder in Toddlers using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Ankith Issac Dominic, Meera Johnson, Jaida Fathima, Alaina Benny, Amritha Soloman, PARK-EZE: An IoT based Smart Parking System using DLSTM Prediction , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.