Feature Selection in Genetic Algorithm Based Sentiment Classification Used Five Layered Artificial Neural Network for Cross Domain Opinion Mining

In this paper, we present a review of Natural Language Processing (NLP) techniques for opinion mining. First, we introduce genetic algorithm for feature selection ANN used for classifier many researchers are proposing new ideas, models, applying machine learning algorithms, and more as a result of web mining and web usage mining. Internet use has expanded to practically all types of applications, including e-commerce. E-commerce enables consumers/customers to purchase things online, while web analytics enables website administrators to determine which products sell the most. In many e-commerce decision-making jobs, opinion mining is the key to analytics. A dataset of product reviews, such as books, DVDs, electronics, and kitchen appliances, is obtained. Genetic Algorithm is used to identify the features to perform opinion mining. The measures for measuring the performance of the proposed work are accuracy and F-measure. There is a comparison between domain-specific and domain-dependent words. The suggested work outperforms the existing work in terms of the chosen performance indicators, according to the findings.