Customer sentiment mining or opinion mining refers to the application of datamining techniques like natural language processing, computational linguistics, and text analytics to identify and extract subjective information from customer data like textual interactions (sms, emails), recorded phone calls (calls to CRM divisions) and more recently usage of products/services (website usage, etc).
There are many popular technology products for customer sentiment mining.
Typically, these products analyze e-mails and telephonic conversations to decide if it is a complaint or a query and forwards it to most suitable agent for immediate resolution thus increasing agent productivity. They can also perform both structured and unstructured data analysis to understand & quantify customer satisfaction, display customer details and past communication, prioritize complaints based on customer satisfaction level the value of the customer, update customer contact details in the data warehouse, and also helps to differentiate services to HNI and LNI clients.
Sometimes, these data-mining systems can even create customized email/sms/ automated phone call campaigns for the marketer to increase revenue from cross-selling and up-selling, analyze customer preferences post campaign-creation, analyze customer actions post email reading, generate reports to facilitate management decision making process (which can be integrated with the existing other report generation tools)and also helps to analyze productivity of agents and channels.
A feature-wise competitive analysis of the 15 most popular instruments available in the market for customer sentiment mining can be obtained on request to firstname.lastname@example.org. The comparative report is easy to understand with charts implying a comparison of features an is priced $350 only.