This is a simple program to conduct sentiment analysis on any given user input. This is my first Machine Learning model.

1. Python 3
2. NLTK (Natural Language Toolkit)
3. Scikit-Learn (Sklearn)

Visit: https://www.python.org/downloads/ and download the version suitable for your System

Open Command Prompt (Windows) or Terminal (Linux) and type in the following command:

pip install nltk

Open Python in Command Prompt and type

import nltk

nltk.download()

The following window will appear:

Select "all" and click on "Download"

Visit: NLTK Install Instructions for details.

Open Command Prompt (Windows) or Terminal (Linux) and type in the following command:

pip install sklearn

Visit: Scikit-learn Installation Documentation for details.

1. Download the dataset from HERE (Both positive.txt and negative.txt)
2. Put them in the desired path and change the path of the train.py and test.py accordingly.
3. Train the model (using train.py) and save the classifier by pickling it at the desired location.
4. You can directly run the classifier after training or load the saved classifier and run it later using the test.py
5. Input a word and press enter, the model would predict if the word is a positive one or negative.
6. You can also input a sentence, however, it does not perform very accurately since it is a simple word based model