zetnlp 1.0.0

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ZetNLP - Multilingual Natural Language Processing Library

ZetNLP is a multilingual NLP library built from scratch, designed to provide an extensive range of natural language processing capabilities for multiple languages.

Features

• Multilingual Support: Process text in multiple languages with ease.
• Tokenization: Efficiently tokenize text into words, sentences, and more.
• Part-of-Speech Tagging: Identify parts of speech in text.
• Named Entity Recognition: Detect and classify named entities in text.
• Sentiment Analysis: Analyze the sentiment of text data.
• Text Classification: Classify text into predefined categories.
• Text Summarization: Generate concise summaries of text data.
• Language Detection: Automatically detect the language of text data.

Installation

To install ZetNLP, simply run:

pip install zet-nlp

Usage

Below is a basic example of how to use ZetNLP:

from znlp import ZetNLP

# Initialize ZetNLP for Bangla language
nlp = ZetNLP(language='bangla')

# Process the text
doc = nlp("ঢাকায় আজ খুব গরম।")

# Print token information
for token in doc.tokens:
    print(f"{token.text} => POS: {token.pos}, Lemma: {token.lemma}, Entity: {token.entity}")

Use for multilingual

from zet-nlp import ZetNLP

# Initialize ZNLP for English language
nlp = ZetNLP(language='english')

# Process the text
doc = nlp("The weather is very hot in New York today.")

# Print token information
for token in doc.tokens:
    print(f"{token.text} => POS: {token.pos}, Lemma: {token.lemma}, Entity: {token.entity}")

Documentation

Comprehensive documentation is available at ZNLP Documentation.

Contributing

We welcome contributions from the community! Please read our Contributing Guidelines for more information on how to get started.

License

ZNLP is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any questions or inquiries, please contact us at [e-mail].