Skip to content

πŸ“Š Zoom chat analyzer provides insights on participant activity levels using Pandas and Streamlit for interactive analytics.

Notifications You must be signed in to change notification settings

finesaaa/zoom-chat-analyzer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

21 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

Zoom Chat Analyzer

πŸ“Š Chat Analyzer is a Streamlit-based web application that allows you to analyze chat data from text files. It provides insights into the most active and silent participants in the chat.

🎯 Algoritma (algorit.ma) purposes.

Features

  • πŸ”¬ Analyze chat data from text files.
  • πŸ”Ž Identify the most active and silent participants.
  • πŸ“Š Visualize chat statistics with interactive plots.
  • πŸ“₯ Copy chat data to clipboard or download as CSV.

How to Use

  1. Upload Files:

    • Click on the "Choose File" button to upload one or multiple chat files. Supported file format: .txt.
  2. Input Course Details:

    • Enter the course name and day information in the sidebar.
  3. Analysis:

    • After uploading the file(s) and providing course details, the app will analyze the chat data.
    • It will display two plots:
      • Top 10 Most Active Participants.
      • Top 10 Most Silent Participants.
    • Additionally, the app will print the top 10 most active and silent participant names.
  4. Data Summary:

    • Below the plots, you can find a summary of the chat data.
    • It includes timestamps, participants, and messages.
  5. Copy or Download Data:

    • You can copy the chat data to your clipboard or download it as a CSV file.
  6. Feedback:

    • We welcome your feedback! Feel free to reach out with any questions or suggestions.

Installation

To run this app locally, make sure you have Python installed. Then, follow these steps:

  1. Clone this repository:

    git clone https://github.com/product-rnd/zoom-chat-analyzer.git
    
  2. Navigate to the project directory:

    cd zoom-chat-analyzer
    
  3. Install the required dependencies:

    pip install -r requirements.txt
    
  4. Run the Streamlit app:

    streamlit run app.py
    
  5. Access the app in your browser at http://localhost:8501.

Example Chat Data

You can use the provided example chat data file (GMT20240816.txt) to test the application. ⚠️ Ensure that the file names follow the format "GMT+DATE.txt" where "DATE" represents the date in any specific format.

00:24:39    [Instructor] Alexander Graham Bell:   sore Bu
00:33:28    [TA] Marie Curie:    Iya sama sama Bu
01:25:50    [TA] Leonardo da Vinci:    Selamat datang di kelas EDA Day 4, Yoda Night Online. Berikut pranala kelas yang perlu dipersiapkan:...
01:37:36    [TA] Albert Einstein:  πŸ˜€
01:37:52    J. Robert Oppenheimer Zoom (Laptop):   Reacted to "πŸ˜€" with 🀣
01:46:25    Issac Newton:    household_new[(household_new['year'] == 2018)]
01:46:47    [TA] J. Robert Oppenheimer:  Reacted to "household_new[(household..." with πŸ‘
01:48:34    B. J. Habibie:    karena data household_new yang originalnya akan keoverwrite
01:48:40    Issac Newton:    data awalnya berubah
02:00:25    J. Robert Oppenheimer Zoom (Laptop):   minimarket total sales nya sangat mendominasi dibandingkan format penjualan yg lain
02:02:05    Roberto Mario Uta:   Reacted to "kalau gak makan nasi..." with πŸ˜‚
02:02:05    Arthur Scherbius:   Reacted to "kalau gak makan nasi..." with 🀣

Credits

  • Developed by RnD Product Team - Algoritma
  • Β© 2024 Algoritma

About

πŸ“Š Zoom chat analyzer provides insights on participant activity levels using Pandas and Streamlit for interactive analytics.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages