Genetic Optimization in Hybrid Level Sentiment Analysis for Opinion Classification
Gatta Sravya · International Journal of Advanced Trends in Computer Science and Engineering · 2020
Now-a-days the major task in Natural Language Processing (NLP) is Sentiment Analysis (SA).Identifying the polarity of the textual data has been a complex problem which is applied in the vast range of areas from product feedback analysis to user statement understanding.Yet many approaches and models were developed for this problem, classification problem still remained.To overcome this problem and to train the machine to perfection, we introduced a feature optimization algorithm with CNN (Convolutional Neural Network) as a classification algorithm.The main aim of our project is to attain more accuracy than the proposed capsule-based model.Our experimented results showed huge outcomes for this model.