Optimized fuzzy technique for enhancing sentiment analysis

Neuro-fuzzy network incorporating multiple lexicons for social sentiment analysis

“…Ahuja et al ( 2015 ) implemented a SA model on public opinion data from Twitter to find a relationship between the stock market and public mood, using a self-organizing fuzzy neural network. An optimized fuzzy technique—shuffled frog leaping algorithm (SFLA), developed by Madhusudhanan et al ( 2019 ) is deployed for improving the SA process. The SFLA is an optimization technique which imitates the mimetic evolutionary activity of frogs searching for a place with most quantity of food; along with SFLA, a local search algorithm is implemented for performing SA on book reviews.…”