A. Amalgamative sentiment analysis framework on social networking site

Abstract

Sentiment analysis is the most widely used in many applications. Knowing the sentiment analysis for any of the dataset becomes most important to know the sentiment for the given inputs. In this paper, the amalgamative sentiment analysis framework developed for dividing the positive and negative emotions taken from the user's tweets. In this system, an integrated social networking is developed which is integrated with ASAF. Results show the classification of these tweets.