OkZoomer:
Zoom Sentiment and Speech Analysis
‣ Developed an app with a team of 4 to improve Zoom meetings by using speech and sentiment analysis
Product Manager
UX Designer
Video Editor
CS 338:
Practicum in Intelligent Information Systems
September - December 2020
‣ An app that makes Zoom meetings more productive
The Problem: In Zoom meetings, participants often to not all contribute equally to the conversation. Some participants can even be negative, affecting the productivity of the group.
The Solution: OkZoomer uses speech and sentiment analysis to provide summaries on each participants speaking time and attitude, giving recommendations on how to improve for the next meeting.
First, enter your Zoom meeting information in the OkZoomer app.
Then a report will be summarized and sent to your email
Speech time analysis: Uses Zoom API to retrieve the transcript. Compiles total time each participants speak in the meeting from the Zoom transcript. Uses matplotlib to create the pie chart summary of participant speaking times.
Sentiment analysis: Parses words spoken by each participant and uses MonkeyLearn to analyze sentiment.
Report: HTML/CSS used to create the UX Design of the app and the report summary and email
Watch our video showcasing OkZoomer here