The rising popularity of social media communication can be witnessed everywhere. Not only individuals but companies too have noticed the importance of communication via social media and persist. Associations between customers and companies can be seen via social media. Customers might choose to publicize their opinions about a service or product via social media. Twitter is exceptionally used for is such cases. In this paper, we will exhibit how everyday customers are publicizing their items or taking the criticism for their items utilizing Web-based social networking systems like Twitter. In this procedure, the framework will consumer messages (tweets) and apply machine learning techniques (SVM, Porter stemming) to analyze the nature of the tweet via sentiment analysis. The results will be shown as tweets regarding positive, negative. We likewise will provide an automated response to the tweet (if found negative) and forward the message contents to the customer care email client for quick analysis and explicit response.