Sentiment Analysis of Customer Reviews Using Natural Language Processing
Authors:-Ms. Jyoshna Butty, Ms. Ankita Gupta, Dr. Jasbir Kaur, Assistant Professor Ms. Ifrah Kampoo, Assistant Professor Mr.Suraj Kanal
Abstract-The purpose of this research is to use Natural Language Processing (NLP) to categorize customer reviews into three groups: favorable, negative, and neutral. We employ machine learning models to categorize sentiment by preprocessing textual data. Matplotlib is then used to illustrate the results using area plots, pie charts, and keyword-based analysis. Our investigation shows how sentiment analysis, which provides actionable insights generated from consumer feedback, can advise firms on how to improve customer satisfaction and experience.
