Sentiment analysis of reviews using Nature Inspired PSO and ANN

Social media now plays an important role is sharing the views or comments about a topic. These comments are available to the users for their processing and future decision making process. As the reviews contains mostly text or emojis, thus, processing is required to obtained the required information. Nature is always a source for inspiration and knowledge.The activities of the nature can act as a source for optimization and classification. In this paper, two nature inspired algorithms are considered for analysis. Firstly, Particle Swarm Optimization (PSO) act as an optimization technique for feature selection i.e., best features are selected and these best features act as input to Artificial Neural Network (ANN) for further classification purpose. The reviews are processed using the proposed algorithms and finally, the confusion matrix is generated, which helps to generate the evaluation parameters to evaluate the results.