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This project forked from acrlakshman/facebook-sentiment-analysis

0.0 2.0 0.0 5.45 MB

Analyses emotions between friends by collecting their interactions through messages, comments, etc.

Home Page: https://friendsenti.herokuapp.com/

License: MIT License

PHP 38.36% HTML 0.02% Makefile 0.14% JavaScript 43.29% CSS 17.89% Visual Basic 0.31%

facebook-sentiment-analysis's Introduction

facebook-sentiment-analysis

Facebook app written during HackMadison2014 event at UW-Madison. Analyses emotions between friends by collecting their interactions through messages, comments, etc.

How to use

Make sure to turn off ghostery or similar apps to run this site. Also this app was poorly written, hence it will ask for too many permissions, please accept them for now or atleast the ones which you feel necessary after reading the description above. I will clean this.

Select a friend from the dropdown box and wait for the dial to become steady.

Result is on the scale of 0 to 1, 0 for most negative emotion, 1 for the best.

Utilities

php, javascript, postgresql

Acknowledgements

Source code at https://github.com/kch/heroku-php-pg helped in connecting to Heroku postgresql database.

Remarks

  1. Model used here to unify emotions assigned to each word from SentiWordNet3.0 is not accurate and more precisely it is wrong, which will be updated in future. For now consider this app as a fun project instead of taking results seriously.

  2. This folder contains many scripts that are not being used for this project. Requires cleanup.

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