Recommendation System Based on Data Analysis-Application on Tweets Sentiment Analysis

Recommendation are at the heart of our web activity, they are part of the personalization of access to information, to offer the user items that correspond to his expectations. This article discusses the different types of approaches on which recommendation systems are based. First, we will talk about the different types of recommendation systems and approaches used with its advantages and disadvantages and some work related to the recommendation systems. In this article we will present our approach of recommendation which is based on the analysis of the feelings of the users from consumers reviews on articles. Example of application on twitter by analyzing the sentiment contained in the comments of the tweets.