A Novel Approach for Sentiment Analysis of Punjabi Text using
Amandeep Kaur and Vishal
Gupta
Department Computer Science and
Engineering, Panjab University, India
Abstract: Opinion mining or sentiment analysis is to identify and classify the sentiments/opinion/emotions
from text. Over the last decade, in addition to english language, many indian
languages include interest of research in this field. For this paper, we
compared many approaches developed till now and also reviewed previous
researches done in case of indian languages like telugu, Hindi and Bengali. We
developed a hybrid system for Sentiment analysis of Punjabi text by integrating
subjective lexicon, N-gram modelling and support vector machine. Our research
includes generation of corpus data, algorithm for Stemming, generation of punjabi
subjective lexicon, developing Feature set, Training and testing support vector
machine. Our technique proves good in terms of accuracy on the testing data. We
also reviewed the results provided by previous approaches to validate the
accuracy of our system.
Keywords: Sentiment
analysis, subjective lexicon, punjabi language, n-gram modeling, support vector
machine.