Sentiment Analysis of Incoming Calls on Helpdesk

Project Code :TCMAPY1165

Objective

The objective of this project is to perform sentimental analysis on incoming calls to a helpdesk in order to better understand the emotions and sentiments of the callers. This analysis will leverage natural language processing (NLP) techniques to categorize the emotional tone of each call into positive, negative, or neutral sentiments. By analyzing the sentiment of incoming calls, the project aims to identify patterns and trends in customer satisfaction and dissatisfaction.

Abstract

This project aims to implement sentiment analysis techniques on incoming calls to a helpdesk service. By analyzing the emotional tone of callers, the helpdesk can better understand customer satisfaction levels, identify potential issues, and improve service quality. The sentiment analysis will involve natural language processing algorithms to classify calls into positive, negative, or neutral categories based on the caller's tone and language. Through this analysis, the helpdesk can prioritize calls, address urgent issues promptly, and enhance overall customer experience. Keywords: Logistic Regression, Support Vector Machine, Naive Bayes

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.