Sentiment Analysis of Samsung’s Galaxy and Apple’s iPhone Smartphones

Description

I applied different classification models to a test dataset collected from commoncrawl(WET files for July 2019) to predict the overall sentiment toward Apple's iPhone and Samsung's Galaxy using 2 labeled training sets.
Apart from the goal of conducting sentiment analysis. I used this project as an opportunity to discover automatic feature engineering tools available in Python and R and to:

1. Compare R MLR and Python ScikitLearn workflows.
2. Compare different open source free Automatic Machine Learning Frameworks( Automatic Hyperparameter Tuning and Automatic Model selection )

• Google’s AutoML
• TPOT optimizes pipelines using genetic programming
• H20's AutoML