Sentiment Analysis Using Neural Networks: A New Approach
Shiv Dhar, Suyog Pednekar, Kishan Borad, Ashwini M. Save · 2018
Sentiment analysis is a trending topic, as everyone has a unique perception about everything. The systematic research of these opinions can gain some information which can prove to be valuable for many companies and industries in future. A huge number of users are online, and they share their opinions and comments regularly; this information can be mined and used efficiently. Using sentiment analysis, various companies can review their own products and make the necessary changes in the future. The data is huge and thus it requires efficient processing to collect this data and analyze it to produce required result. Sentiment analysis can be performed using various techniques including Convolutional Neural Network. The combination of sentiment analysis and Morphological Sentence Pattern Model sums up to obtain better results. The output obtained from MSP model plays a major role in sentiment analysis and also helps in improving the performance.