z-logo
open-access-imgOpen Access
Proposed Algorithm of Sentiment Analysis for Punjabi Text
Author(s) -
Amandeep Kaur,
Vishal Gupta
Publication year - 2014
Publication title -
journal of emerging technologies in web intelligence
Language(s) - English
Resource type - Journals
eISSN - 1799-8859
pISSN - 1798-0461
DOI - 10.4304/jetwi.6.2.180-183
Subject(s) - computer science , sentiment analysis , artificial intelligence , algorithm , natural language processing , pattern recognition (psychology)
Sentiment Analysis is to identify and classify the opinions/emotions/sentiments in written text. Till date, English Language includes most of the research work in this area. In this paper, we discussed the various approaches used to accomplish the sentiment analysis and research work done for Indian Languages like Hindi, Bengali and Telugu. We proposed an algorithm by using subjective lexicon which is created by using Hindi Subjective Lexicon. Our approach proves good performance on the testing data. We compared the results with already existing approaches.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom