Open AccessFeature Extraction and Opinion Mining of Gujarati Language text
Author(s) -
Himadri Patel,
Bankim Patel,
Kalpesh Lad
Publication year - 2022
Publication title -
international journal of research and scientific innovation
Language(s) - English
Resource type - Journals
eISSN - 2321-2705
pISSN - 2320-5520
DOI - 10.51244/ijrsi.2022.9401
Subject(s) - gujarati , computer science , hindi , sentiment analysis , natural language processing , artificial intelligence , popularity , field (mathematics) , feature (linguistics) , feature extraction , deep learning , linguistics , political science , mathematics , philosophy , pure mathematics , law
The field of opinion mining has gained much popularity in last few years. Many new techniques and methods are being developed in different languages like English, Hindi etc. However, it is observed that there is no significant progress in the field of Opinion Mining for languages like Gujarati. The presented work uses a deep learning approach for the Opinion Mining of Gujarati language text. The paper also discusses feature extraction which is one of the most important steps in machine learning or deep learning method.