h4sohail / feedback-analyzer

An app that analyzes and categorizes social media feedback to alert devs about technical issues

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Feedback Analyzer

Monitors, tracks, analyzes and categorizes social media feedback

Devpost with pictures of project

How to build and use

First of install all the dependancies, pip install -r requirements.txt

Make a SQL database and update the host in fetcher.py, techincal.py, routes.py and nlp.py

Remember to pass the database password as a command line argument

Run fetcher.py to get your tweets and save them to the database

Run nlp.py to train the model and classify the tweets as "positive" or "negative"

Run technical.py to classify the tweets as technical or non technical

Run run.py to start the web app

Project Members

Hamza Sohail

Computer Science, 1st Year, Python, Java and C/C++

GitHub: h4sohail

Shane Fernandes

Computer Science, 1st Year, Python and Java

GitHub: shane-f03

Musa Ali

Computer Science, 1st Year, Python and Java

GitHub: hellomusa

About

An app that analyzes and categorizes social media feedback to alert devs about technical issues


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Language:HTML 59.7%Language:Python 33.2%Language:JavaScript 6.9%Language:CSS 0.2%