Polyglot NLP
Polyglot NLP is a natural language processing framework that supports massive multilingual applications. It can analyze text in over 100 languages, perform Named Entity Recognition, sentiment analysis, and text embeddings, and more.
multilingual
sentiment-analysis
named-entity-recognition
text-embeddings
Polyglot NLP: Natural Language Processing for Massive Multilingual Applications
Polyglot NLP is a natural language processing framework that supports massive multilingual applications. It can analyze text in over 100 languages, perform Named Entity Recognition, sentiment analysis, and text embeddings, and more.
What is Polyglot NLP?
Polyglot NLP is a comprehensive natural language processing framework for multilingual applications. It was developed by Ravi Sankar at the University of Washington.
Some key features of Polyglot NLP include:
- Supports over 100 languages including English, Spanish, French, German, Chinese, Arabic and many more.
- Named Entity Recognition to identify people, organizations, locations and other entities from text.
- Sentiment analysis to determine the sentiment polarity (positive, negative, neutral) of written text.
- Word vector representations and pre-trained embeddings for semantic similarity and analogies.
- Parts-of-speech tagging, morphological analysis, dependency parsing and other text processing features.
- Multilingual word alignment capabilities.
- Available as a Python library and can be easily integrated into machine learning models.
- Actively maintained and updated to support the latest NLP capabilities.
Polyglot NLP makes large-scale multilingual text analytics accessible to everyone. With its comprehensive feature set and ease of use, it’s a versatile addition to any NLP or data science toolkit.
Polyglot NLP Features
Features
- Supports over 100 languages
- Named Entity Recognition
- Sentiment analysis
- Text embeddings
Pricing
- Open Source
Pros
Multilingual support
Pre-trained models for many languages
Active development and updates
Cons
Requires technical knowledge to use effectively
Not as accurate as commercial alternatives for some tasks
Limited to text data only
Official Links
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