This project is a basic command-line application that analyzes the sentiment (polarity) of text using the Python TextBlob library.
It demonstrates fundamental Natural Language Processing (NLP) concepts such as tokenization, stop word removal, and sentiment scoring.
The script defines a sample sentence and uses the TextBlob library to calculate a polarity score between -1.0 (most negative) and +1.0 (most positive). It then classifies the result as Positive, Negative, or Neutral.
You need Python installed, along with the following libraries:
pip install nltk textblob.