A Survey on Sentimental Analysis Approaches using Machine Learning Algorithms

Anith Ashok, Dr. Sandeep Monga
2022 International Journal for Research in Applied Science and Engineering Technology  
Abstract: Sentiment analysis is the measurement of positive and negative language. It is a way to evaluate written or spoken language to determine if the expression is favourable unfavourable, or neutral, and to what degree. It is one of the prominent fields of data mining that deals with the identification and analysis of sentimental contents generally available at social media. In this work, a survey has been conducted on various work done in the past on sentiment analysis which includes
more » ... on mining methods, machine learning based approaches and hybrid approaches which combines the both. Some approaches which uses special statistical and machine learning models are included in separate section. It is concluded from the work that sentiment analysis on text can be improved if combined with other features like emojis. It can further be improved by using hybrid models. Keywords: Time series forecasting, Sentiment Analysis, Hybrid Models
doi:10.22214/ijraset.2022.42005 fatcat:ss2f2lpznzcktakldpbete3evu