NLP-sentiment 2.0.0

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Sentiment Analyzer

A simple sentiment analysis tool that assigns a sentiment score to a given text based on predefined positive and negative words.

Features

• Uses a predefined list of positive and negative words.
• Assigns a sentiment score between -1 (negative) and 1 (positive).
• Lightweight and easy to use.

Installation

You can install the package using pip:

pip install https://github.com/rupayan-23/NLP_sentiment.git

Usage

from sentiment_analyzer import Sentiment

text = "This is an amazing and fantastic experience!"
score = Sentiment(text)
print("Sentiment Score:", score)

Sentiment Scoring

• 1.0 → Strongly positive sentiment
• 0.5 to 0.9 → Moderately positive sentiment
• 0.0 → Neutral
• -0.5 to -0.9 → Moderately negative sentiment
• -1.0 → Strongly negative sentiment

Requirements

• Python 3.6+
• NumPy

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Author

Rupayan Sarker