This is my first experiment with Machine Learning, in which the main objective is to train the machine using Naive Bayes algorithm to classify a review, informing whether it's a positive or negative review. Thus, the problem statement is: "A review received is positive or negative?"
The code and results can be found in this workbook: sentiment-analysis.ipynb
The following steps were followed to achieve the goal of this project:
Defined the problem statement: "A review received is positive or negative?"
Selected the data set collected on UCI archive to be used and represented it using numerical attributes
Trained the model with the training data and choose the traning algorithm Naive Bayes.
Tested the model with test data
- Download and install Anaconda
- Clone this repo
- Open Anaconda Navigator and launch jupyterlab
- Open the workbook sentiment-analysis.ipynb on jupyterlab
- Have fun! :)