Python Natural Language Processing using NLTK

The New York Times magazine Sentimental Analysis This tool is an implementation of the The New York Times magazine Sentimental Analysis.

Requirements

NLTK and its dependencies You may install NLTK by using pip:

pip install nltk How to use

Clone this project Install NLTK (if it is not installed) Run the classifier Or run the following commands:

git clone git://github.com/victorneo/python_natural_language_processing.git pip install nltk python sent.py Training data

The training data is obtained from the The New York Times Magazine with the keywords I am happy and I am sad for happy (positive) and sad (negative) list of keywords.

To add more training data, add in new happy tweets to positive.txt and sad tweets to negative.txt using one line for each new tweet.