dataknobs-xization 1.0.1

Text normalization and tokenization tools

dataknobs-xization

Text normalization and tokenization tools.

Installation

pip install dataknobs-xization

Features

• Text Normalization: Standardize text for consistent processing
• Masking Tokenizer: Advanced tokenization with masking capabilities
• Annotations: Text annotation system
• Authorities: Authority management for text processing
• Lexicon: Lexicon-based text analysis

Usage

from dataknobs_xization import normalize, MaskingTokenizer

# Text normalization
normalized = normalize.normalize_text("Hello, World!")

# Tokenization with masking
tokenizer = MaskingTokenizer()
tokens = tokenizer.tokenize("This is a sample text.")

# Working with annotations
from dataknobs_xization import annotations
doc = annotations.create_document("Sample text", {"metadata": "value"})

Dependencies

This package depends on:

• dataknobs-common
• dataknobs-structures
• dataknobs-utils
• nltk

License

See LICENSE file in the root repository.