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
- R Karthika, Maria Toms, S R Aadrash, P U Prabath, InsightAI: Bridging Natural Language and Data Analytics , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Honey Thomas, Linna Benny, Saya Nezrin, Navya Neethi S, Niya Joseph, Smart Communication Software for the Hearing Impaired Using Artificial Intelligence , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Dr. Indu John, A Adithya, Alwin Rajan, Amal Biso George, Farhaan M Hussain, HEALTH GUARD-A Multiple Disease Prediction Model Based on Machine learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Asha Joseph, Deep Learning for Cyber Threat Detection , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Betzy Babu Thoppil, Anugrah Premachandran, Annapoorna M, Ashwin Mathew Zachariah, Bala Susan Jacob, Advanced Sensor-Based Landslide and Earthquake Detection and Alert System Utilizing Machine Learning and Computer Vision Technologies , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Meenu Harikumar, Navya Sajeev, Sayoojya Saji, Sona Sunny, Prof Thushara Sukumar, COMPARATIVE SYSTEM OF PRIVACY PRESERVING IMAGE BASED ENCRYPTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Meenu Harikumar, Navya Sajeev, Sayoojya Saji, Sona Sunny, Prof.Thushara Sukumar, COMPARATIVE SYSTEM OF PRIVACY PRESERVING IMAGE BASED ENCRYPTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Fabeela Ali Rawther, Akhil P Dominic, Alan James, Christy Chacko, Elena Maria Varghese, Early Detection of Attention Deficiency Using ML , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Tom Kurian, Ektha P S, Chethana Raj T, Diona Joseph, Annu Mary Abraham, Intelligent Disease Prediction in Hydroponic Systems Using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Akil Saji, Sreeyuktha Ramesh, Aabel Jacob, Saumya Sadanadan, Rosmartina Shaju, Dr S N Kumar, Enhancing Image Security with Introduction to Blockchain , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.