Sentiment Analysis Using Machine Learning Algorithms

Abstract

The sentiments are a basic mental process that reflects the individual characteristics of the surrounding reality and the internal state of the body with the direct impact of stimuli on the senses. There is a lot of different available between perception and sentiment. The emotions reflect personal characteristics, but not events and objects as perception. Thus, external phenomena act on our senses and cause a subjective effect in the form of emotions without any counter-action of the object related to the perceived impact. In this paper, we will discuss sentiment analysis on the basis of the smart machine learning model. All organisms with a nervous system are endowed with the ability to feel from birth. Only man and higher animals can perceive the world in the form of images, which develops and enhances their life experience. The proposed model computes the human activities as per the sentimental behaviour of the human and achieved 86.73% of emotions, 95.66% of emotional adoptions, 94.56% of consciousness formation, 95.50% of objectivity and 94.40% of cognitive disorders.