ENABLING REAL-TIME SENTIMENT ANALYSIS AND OPINION MINING FOR ENHANCED BUSINESS STRATEGY: A SCALABLE PLATFORM FOR BIG DATA COLLECTION, STORAGE, VISUALIZATION, AND ANALYSIS

Two of the most prominent fields for analyzing and drawing conclusions from text data from many sources, such as Amazon, Facebook, and Twitter, etc., is sentiment analysis and opinion mining. It is essential for enabling firms to actively work on upgrading their corporate strategies and thoroughly comprehending the input from customers on their items. It entails computational analysis of a person's purchasing interests and subsequent opinion mining about a company's corporate entity. This thing can be seen as a person, an event, a blog article, or a product experience. Reviews, ratings, and comments left by users can be analyzed to provide more insightful data for business purpose. Understanding the consumer's needs and foretelling their future intents toward the service are made possible via the study of such consumer behaviour. This cognitive research on e-commerce Businesses may monitor how their items are used and how customers feel about them then use the information to provide a tailored shopping experience for their customers and boost organizational profit. The twitter data used in this article was obtained from Twitter using an API key. The pre-processing processes must then be put into practice. Next, NLP techniques are used to develop the system. Implementing a machine learning method, such logistic regression, is the next stage. The outcomes of the experiment demonstrate the accuracy