Conversational text Analysis using various NLP techniques
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Updated
Jun 12, 2023 - Jupyter Notebook
Conversational text Analysis using various NLP techniques
CallScribe is an integrated system for call center management, featuring audio file transcription and analysis, data management via a FastAPI backend, and a user-friendly Next.js frontend interface for viewing and interacting with conversation data.
Real-time behavioral intelligence for call centers. Transcribes support calls, redacts PII, extracts emotional tone, classifies issues, and delivers insight-rich dashboards — powered by GPT-3.5 (cheap tokens), Whisper, DuckDB, and a polished React+TypeScript frontend. No Azure. No Power BI. No vendor lock-in. Just full-stack AI that runs local.
Can we understand customers based on their experience through our call centres?
How to create a dashboard callcenter with EXCEL (Desktop Microsoft Excel).
Call Center Performance Analysis to highlight the key factors behind the call center performance based on agents, calls, support services and channels. Interactive Graphical Data reporting and Dashboard for effective analysis done with Microsoft Power BI
This project consist of a dataset of a call center which is to be analyze for the insights of the center so that they can improve on their current position and report the findings using dashboard presentation.
Have Created visualization for the given data for call center company project -used different analysis of KPI.
This is the first task of 3 Power BI tasks by PwC Switzerland Virtual Internship organized via Forage.
Interactive Excel dashboard analyzing 12 weeks of call center performance, including agent scores, call abandonment, and SLA metrics.
This project is focused on solving the problem statements by leveraging data. Excel was used to solve the case study.
Creation of a dashboard in Power BI reflecting all relevant Phone Now Call Centre's Key Performance Indicators (KPIs).
This project have a call center dataset which is provided to us for analyzing it and getting the results back to the stakeholders for improving their call center and analyzing what information is the dataset providing. All the important information is put down on the dashboard for the presentation and understanding of of stakeholders.
This project was carried out in order to produce insight to a call center company; to determine how much calls come to the company, the response of the calls and the satisfaction of their clients to the calls.
UNDER CONTRUCTION 👷♀️🏗️
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