Emotion Recognition in Tweets using Optimized Ensemble Classifiers
D. N. S. B. Kavitha, P. V. G. D. Prasad Reddy, K. Venkata Rao · 2022 7th International Conference on Communication and Electronics Systems (ICCES) · 2022
The development of superior recognition/ classification techniques is essential for real-time Natural Language Processing (NLP) applications. Sentiment Analysis (SA) is a task of NLP that aims to extract the sentiments/ opinions of the people from texts. In addition, very recent SA techniques start to integrate the data from text, speech, and other modalities such as visual data. Effective computing techniques and SA techniques are the two keys to the development of Artificial Intelligence (AI) such as human computer interaction. This article presents the investigations on sentiment classification of political tweets about an individual on Twitter using optimized Ensemble classifier under different training rates. From the analysis done through simulation, it is noted that Ensemble Classifier (EC) provides better classification accuracy than that of traditional machine learning (ML) classifiers.