A modular library for keyword matching and extraction.
Project description
Keylex
Keylex is a Python library designed for efficient and flexible keyword extraction and matching. It supports various techniques, from basic exact matching to advanced fuzzy matching, with options for industry-specific and domain-tailored use cases. The library provides extensibility through custom matchers and extractors, making it an excellent choice for NLP applications like news article analysis, content classification, and keyword detection.
Features
- Multiple Matching Strategies: Includes exact match, case-insensitive match, fuzzy match, regex match, and more.
- NER Integration: Leverages Named Entity Recognition (NER) for extracting entities from text.
- Fuzzy Matching: Incorporates fuzzy matching using techniques like Levenshtein distance.
- Extensible: Easily extendable with custom matchers and extractors.
- Industry-Specific: Tailored options for processing news articles and other text-heavy domains.
- Simple API: Easy to integrate with your existing projects.
Installation
To install Keylex, use Poetry to manage your dependencies. If you don’t have Poetry installed, follow the instructions here.
Using Poetry:
poetry add keylex
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