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AJV009/SentimentAnalysis_RubixML

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data_description.txt

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predict.php

predict.php

 
 

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train.php

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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)

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SentimentAnalysis using PHP RubixML library!

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training testing php data machine-learning composer ai sentiment-analysis analysis php7 test sentiment ml dataset train composer-packages sentiment-classification rubix-ml

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