/Sentiment-Analysis

A learning project that uses the nltk library to create a model for classifying inputs.

Primary LanguagePython

Sentiment Analysis Model

In this project I used the nltk library for natural language processing to create a model that classifies any inputs from keyboard into Positive or Negative based on the attitude of the writer to the topic. This model is trained using the nltk.twitter_samples dataset with the Naive Bayes Classifier.

To generate the model:

make generate

To run the main file:

make run