Paper Title:

Intelligent System For Customer Sentiment Analysis


Shailendra Singh Kathait, Shubhrita Tiwari, Anvesha Bagaria, Vinod Kumar Singh


Sentiment analysis is widely acknowledged in the web and social media monitoring. It allows businesses to gain a comprehensive public opinion on the organization and its services. The ability to deduce insights from the text and emoticons from social media is a practice that is now widely adopted by the organizations worldwide. Digital media represents an extensive opportunity for businesses of any industry to acquire the needs, opinions and intent that users share on social media and web. Listening to consumer’s voice requires in-depth understanding of what customer’s express in Natural Language. This research paper describes the designing of an Intelligent System to understand the human language and crack the sentiment behind it.

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