Customer Opinion Analysis Leveraging Natural Language Processing Algorithms

Abstract

Customer Sentiment analysis has become crucial in today’s digital age, enabling businesses to glean insights from vast amounts of textual data, including customer reviews, social media comments, and news articles. By utilizing natural language processing (NLP) techniques, sentiment analysis using NLP categorizes opinions as positive, negative, or neutral, providing valuable feedback on products, services, or brands. This analysis is powered by various algorithms such as Naive Bayes, Support Vector Machines (SVM), and Recurrent Neural Networks (RNN), which help in understanding the overall sentiment and emotional tone conveyed in the text, making it an indispensable tool for business intelligence and decision-making.