Skip to content
This repository has been archived by the owner on Jul 17, 2020. It is now read-only.

Latest commit

 

History

History
11 lines (9 loc) · 513 Bytes

README.md

File metadata and controls

11 lines (9 loc) · 513 Bytes
Raw

SentimentAnalysis_RubixML

SentimentAnalysis using PHP RubixML library!

Install

  • Use PHP composer to install dependencies!
  • Extract train and test 7z files using 7zip or any decompression tool
  • Run train.php to train the model and generate a file
  • (optional) Use PHP Composer Zlib extension to fasten the whole process. Then the model generated will only work with zlib!
  • Use predict.php to predict positive / negative statements!

Credits to rubix_ml (this program was taken from rubix_ml samples)