Chat Summarization and Sentiment Analysis Techniques in Data Mining
Reeta Rani, Sawal Tandon · 2018
The classification is the technique which can classify the data into certain number of classes according to input data. The sentiment analysis is the terms which is used to analyze sentiments of the input data. In this research work, sentiment analysis of twitter data is performed using the technique of classification. In the previous work, Support Vector Machine (SVM) classifier is applied for the sentiment analysis which later replaced with K-Nearest Neighbor (KNN) classifier to increase accuracy of classification. In this work, ontology based technique is proposed to generate summary of the input data. The existing and proposed techniques are implemented in python and results are analyzed in terms of accuracy.