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Sentimental Analysis on Movie Review Using Artificial Intelligence and Machine Learning

Divyanshu Athwani, Douli Suthar, Mohit Soni, Abhay Jindal

Abstract


A recent area of study with applications in many other fields is sentiment analysis. Sentimental analysis helps to classify a subject’s sentiments (e.g., positive, negative, or neutral) automatically towards a specific topic, product, news, or any movie. Machine learning is a powerful technique of artificial intelligence (AI) to control the increasing demand for accurate sentimental analysis. Online reviews, comments, and polls are used to collect a sizable amount of textual data in the modern world. The data collected is all used to improve the products and services that are provided globally by both public and private entities. Finding the important elements that impact a movie review's tone is what we do. This is accomplished by assigning ratings to different aspects of the movie that have the most influence on its polarity. We have found that aspects with high driving factors such as cinematography and editing affect the review polarity most. The aim of this study is to shed light on how sentiment analysis works, and how it is developed and applied in the real world.


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References


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