Text based Tweet Classification using Ensemble Classifier

There are so many social networking sites available. Tweets have evolved into a crucial tool for gathering people's thoughts, ideas, behaviours and sentiments surrounding particular entities. One of the most intriguing subjects in this context is analyzing sentiment tweets using natural language processing (NLP). Although several methods been created, accuracy effectiveness those analysis yet to be improved. This paper proposes an innovative strategy that takes advantage machine learning lexical dictionaries. classified stacked ensemble model has Naive Bayes as base classifier Logistic Regression meta model. The performance proposed method compared with common models such Naïve sentiment140 dataset, experiments were carried out their was determined. results experiment endorse methodology. exhibits better outcomes attaining score 86%.