nlp_sentiment_intensity_analyzer_nltk

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Filename: nlp_sentiment_intensity_analyzer_nltk.py
# Author: Jeoi Reqi

"""
This script analyzes the sentiment intensity of a given text using NLTK's SentimentIntensityAnalyzer.

Requirements:
- Python 3
- NLTK library
- 'vader_lexicon' NLTK resource

Usage:
- Run the script, and it will print the sentiment score of the provided example text.

Example:

Input:
Text: 'Natural Language Processing is a fascinating field. It involves the use of computers to understand and process human language.'

Output:
Sentiment Score: {'neg': 0.0, 'neu': 0.727, 'pos': 0.273, 'compound': 0.7184}
"""

import nltk
from nltk.sentiment import SentimentIntensityAnalyzer

# Download the 'vader_lexicon' resource
nltk.download('vader_lexicon')

# Create a SentimentIntensityAnalyzer object
sia = SentimentIntensityAnalyzer()

# Sample text
text = "Natural Language Processing is a fascinating field. It involves the use of computers to understand and process human language."

# Get the sentiment score
sentiment_score = sia.polarity_scores(text)
print("Sentiment Score:", sentiment_score)