Arabic Sentiment Analysis

I've made this repository as part of an interview task

This repo contains a few scripts to calculate sentiment of a given tweet based on the ASTD

I've mainly used IBM watson to train the classifier (Trial period from IBM Bluemix) To improve on Watson I've also trained a few other models which are:

1. A Bidirectional LSTM model
2. A Gradient boosted machine
3. A Naive bayes model

In the end I use the predictions from all of these models and average the probabilities to achieve higher accuracies

I have also used the NileULex.

Here's a table demonstrating the results. (I don't use the lexicon in any of the ensembles)

Model	Score
Lexicon only	%41.3
IBM Watson	%68.1
LightGBM	%68.4
Naive Bayes	%67.3
Bi-LSTM	%63.4
Ensemble(All)	%69.16
(Watson + LGBM + NB)	%69.33
(Watson + LGBM)	%69.5

You can rerun the script to recreate the results by running the run_all.sh script