• Sashi Jangra

In this research SVM classifier is used to analysis of sentiment in data mining for predicting the mined information on particular topic like statements comments etc. Is either in the form of positive, negative or natural? There are many modals have been created over sentiment analysis using SVM to predict the correct result but till now created modals could not predict the correct result. In this we have used SVM Classifier that is a supervised machine learning modal but more advanced. It uses algorithms to train and classify text within our sentiment polarity model by taking a step beyond X/Y prediction. It will divide data in two segment with a line one side of the line the data will be positive and other side the data will be negative by using Linear Classifier modal that Is type of SVM classifier. To implement this research modal I have used Python programming language. In this, there is taken a dataset on which SVM classifier is applied to predict the information in the form of positive, negative and natural.

Dataset, SVM classifier, Data Mining, Python programming Language.

"Linear SVM Classification of Sentiment in Tweets about Airlines on Twitter in Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.g426-g430, July-2022, Available :http://www.jetir.org/papers/JETIR2207660.pdf

"Linear SVM Classification of Sentiment in Tweets about Airlines on Twitter in Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppg426-g430, July-2022, Available at : http://www.jetir.org/papers/JETIR2207660.pdf