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SENTIMENT ANALYSIS ON IMDB

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INTRODUCTION : Sentiment analysis is the process of using natural language processing, text analysis, and statistics to analyze customer sentiment.   The best businesses understand the sentiment of their customers—what people are saying, how they’re saying it, and what they mean.   Customer sentiment can be found in tweets, comments, reviews, or other places where people mention your brand.   Sentiment Analysis is the domain of understanding these emotions with software, and it’s a must-understand for developers and business leaders in a modern workplace. As with many other fields, advances in deep learning have brought sentiment analysis into the foreground of cutting-edge algorithms. Today we use natural language processing , statistics, and text analysis to extract, and identify the sentiment of words into positive, negative, or neutral categories. ABSTRACT   : This project is to analyze the sentiment given by a person  who are watching movies. For this we n...
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MARKET BASKET ANALYSIS USING APRIORI ALGORITHM

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In the business intelligence world, “market basket analysis” helps retailers better understand – and ultimately serve – their users by predicting their purchasing behaviors. In the retail and restaurant businesses, market basket analysis (MBA) is a set of statistical affinity calculations that help managers better understand – and ultimately serve – their customers by highlighting purchasing patterns. In simplest terms, MBA shows what combinations of products most frequently occur together in orders. These relationships can be used to increase profitability through cross-selling, recommendations, promotions, or even the placement of items on a menu or in a store. Market basket analysis uses association rule mining under the hood to identify products frequently bought together. Before we get into the nitty gritty of market basket analysis, let us get a basic understanding of association rule mining. It finds association between different objects in a set. In the case of m...
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