TextSentiment

TextSentiment is a Python library for text preprocessing and sentiment analysis. It provides a user-friendly API for chaining preprocessing tasks, supports multiple languages and text formats, and integrates with major NLP libraries.

Features

Easy-to-use API for text preprocessing
Support for multiple languages and text formats
Simple interface for sentiment analysis using pre-trained models
Integration with popular NLP libraries like spaCy, NLTK, and gensim

Installation

To install TextSentiment, simply run:

pip install textsentiment

Quick Start

from textsentiment import PreprocessingPipeline, SentimentAnalyzer

# Create a preprocessing pipeline
pipeline = PreprocessingPipeline()
pipeline.add_tokenizer()
pipeline.add_stemmer()
pipeline.add_lemmatizer()
pipeline.add_stopword_removal()

# Process input text
processed_text = pipeline.process(input_text)

# Perform sentiment analysis
analyzer = SentimentAnalyzer(model="en_core_web_sm")
sentiment_score = analyzer.analyze(processed_text)

print(f"Sentiment score: {sentiment_score}")

For more detailed documentation and examples, please visit our project website.

Contributing

We welcome contributions to TextSentiment! If you're interested in contributing, please check out our contributing guidelines.

License