Simple Sentiment Analysis

This is a simple example code for Sentiment analysis using NLTK.

Steps to run this script:

• Clone the repository
• Change directory to src
• Uncomment nltk download line in sentiment.py if you are running for the first time
• Run the command python3 ./sentiment.py
• If you come across any issues, checkout the Issues section below or create an issue

Output

{'neg': xxx, 'neu':yyy, 'pos': zzz, 'compound': xyz}

Under the hood, we are using SentimentIntensityAnalyzer from NLTK Library which gives us the negetive, neutral, positive and compound value of a sentiment for a sentence/tweet. Range of compound value is -1 to 1.

Issues

1. If you get [nltk_data] CERTIFICATE_VERIFY_FAILED error while running the script, add the below piece of code after importing NLTK.

import ssl

try:
    _create_unverified_https_context = ssl._create_unverified_context
except AttributeError:
    pass
else:
    ssl._create_default_https_context = _create_unverified_https_context

2. Once the package vader_lexicon is downloaded, comment out the nltk.download('vader_lexicon') for subsequent script runs.