https://github.com/lkhphuc/slack-visual-summary

Using Machine Learning to create a visual summary for Slack channels.
https://github.com/lkhphuc/slack-visual-summary

Last synced: 5 days ago
JSON representation

Using Machine Learning to create a visual summary for Slack channels.

• Host: GitHub
• URL: https://github.com/lkhphuc/slack-visual-summary
• Owner: lkhphuc
• License: mit
• Created: 2017-10-28T13:45:41.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-01-13T04:28:25.000Z (almost 7 years ago)
• Last Synced: 2024-11-09T16:39:12.668Z (2 months ago)
• Language: Python
• Homepage: https://lkhphuc.github.io/slack-visual-summary
• Size: 22.6 MB
• Stars: 3
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# slack-visual-summary

Using Machine Learning to create a visual summary for Slack channels. 

![preview](media/visually.png)

## Google slide about project

[![slide](media/slide.png)](https://docs.google.com/presentation/d/1mQObMleOFzaXWg7cu0K7-9UPR1gbQV9drxPymNLH88M/edit?usp=sharing)

## Sentences Clustering

The Machine Learning model in **sent2vec-ver2** folder turns sentences in a messages into a sentence-embeddings and extract other sentence's features.

The model need the file : https://drive.google.com/open?id=0BxO5mNtEpj_gZ2YtSFFOcG9SSXc

## Slack's Slash command

The Slack's Slash command interface is hosted in AWS Lambda function.

Each file/folder in **aws-lambda** is a AWS Lambda function.

## Website to visually summarize the conversations

In **website** model.