Sentiment Analysis Customer Review Data - 809 Words

Sentiment Analysis of Customer Review Data Sentiment analysis is the process of identification and extraction of subjective information from unstructured data. Some of the common applications of sentiment analysis are, understanding the voice of the customer, voice of the market, the voice of the employee, brand management, financial markets, politics and government intelligence. The objective of the sentiment analysis in the case of Suite Spot would be to increase customer satisfaction based on the sentiment analysis of the customer review data and other available data about the customer and reservation, available from Kayak. This is where a sentiment analysis can offer much more value when compared to a traditional analysis on the customer review data. The key to this is the availability of real-time data about the hotel from customers. In a connected world where information is continuously flowing in the form of tweets, Facebook, and other social media posts, getting real-time sentiment analysis data and acting on the data would help create a competitive advantage for the Suite Spot chain of hotels. †¢ First we have to keep track of all the customers who are currently staying in a Suite Spot hotel. As soon as the customer checks in, his customer data is collected from Kayak. Kayak keep track of the social media connections of a customer, like Google+ and Facebook accounts. †¢ After retrieving the social media connections of the customers staying in a Suite Spot hotel,Show MoreRelatedInnovative Thinking : Product Service System957 Words   |  4 Pagesadministrations which causes them a big time loss. Each business plans to build its deal breaking its past records. Furthermore, the best way to do it is to draw in new clients as well as to keep up them after deals. 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