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1. Real Time Chat Sentiment Analysis For Customer Care
Students Name ID
1 ABU SUFYAN 19101002-185
2 MUHAMMAD ASAD 19101002-068
Supervisor: Ma’am Sadaf Mehmood
Submitted By:

2. Introduction
The processing of information to determine the opinion of a
customer.
Customer mood or customer sentiment can be queried in real
time.
Good customer service is all about making customers happy.
It helps an agent, know to immediately turn their focus on a
certain customer.

3. Global Sustainability Development Goal

4. Industrial Linkage
In the service industry, the key task is to enhance the quality of
services by identifying conversation sentiments.
It helps in to provide valuable insight into the mind of the
customer.
Promotes customers satisfaction, also encourages loyalty.

5. Problem in Existing System
Untrained agents can not handle different types of queries.
Low NPS score
Traditional quality monitoring solution are not efficient.

6. Proposed System
Detect client sentiments in real time.
Allowing agents to make adjustment to improve NPS.
Proactive monitoring and alarming.
Real time chat analytics automatically grades every call.
Continuing improving agent performance.

7. Main Modules
Customer portal Agent portal
APP

8. Registration
User Registration Agent Registration

9. Agent Chat with User

10. User Chat with agent

11. Tools & Technology
Tools
– Anaconda
– VS code
– Google colab
Technology
Basically we doing the data analysis for real time chat
sentiment analysis of customer care it combines natural language
processing (NLP) and machine learning techniques.
– PYTHON
– HTML,CSS
– React Js

12. Business Plan
Improve customer service
Conduct a SWOT analysis
Develop a new product
Brand monitoring
Customer support analysis
Customer feedback analysis
Market research