A sentiment analysis project without the use of Machine Learning.
This project was implemented in 2013 based on the Twitter API. A keyword entered into the search box retrieves 100 recent tweets. These tweets are then stripped of unnecessary text and then analysed for positive or negative sentiment based on the SentiWordNet 3.0.
The final result shows a percentage metric basde on whether the sentiment towards the keywork is positive or negative.
- PHP
- Twitter API v1.1
- Bootstarp