Sentiment Analysis on mobile phone reviews

Sentiment Analysis by Hitesh Vaidya

Overview

This repository contains code for sentiment analysis on a dataset of mobile reviews. The dataset is downloaded from Kaggle. The code is developed using Scikit learn. It uses following algorithms:

• Bag of Words
• Multinomial Naive Bayes
• Logistic Regression
• Support Vector Machine
• Random Forest
• Decision Tree

Also, it has visualisation of data and the knowledge obtained from it.

Dependencies

• python2.7
• virtualenv
• jupyter notebook
• pandas
• numpy
• nltk
• matplotlib
• sklearn
• beautifulsoup4
• re

Data

Download the required data from this kaggle page.

Installation

You may run this code in a virtual environment. I preferred to do so.
Assuming that you have installed pip and virtualenv,
Create a virtualenv and activate it. eg. let's call it senti

cd senti
git clone https://github.com/hiteshvaidya/sentiment_analysis.git
cd sentiment_analysis
pip -r install requirements.txt

In order to run jupyter notebook in a virtualenv, you need to create a new kernel. Follow this blog or this stackoverflow page to create one.

Usage

• Open jupter notebook. Now go in settings and change kernel to the new kernel that you just created.
• Now run the code in jupyter notebook.

Acknowledgement

Credits for part of this code to Suki Lau.