MeaningCloud
Natural Language Processing
Text analytics API providing sentiment analysis, topic extraction, text classification, and summarization services.
Free plan
Alternatives to Refinitiv NLP
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AllenNLP
Natural Language Processing
Open-source NLP research library by AI2 built on PyTorch for developing state-of-the-art language models.
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NLTK
Natural Language Processing
Open-source Python platform for building NLP programs with classification, tokenization, and corpus analysis tools.
Free planAI/ML EngineerAI Researcher - 4Natural Language Processing
Outlines
Natural Language Processing
Open-source library for structured text generation with LLMs ensuring outputs match defined schemas and grammars.
Free plan - 5Natural Language Processing
spaCy
Natural Language Processing
Open-source industrial-strength NLP library in Python for advanced text processing, entity recognition, and classification.
Free planRapid AI PrototypingBackend Engineer - 6Natural Language Processing
TextRazor
Natural Language Processing
NLP API for entity recognition, sentiment analysis, topic tagging, and content classification of text documents.
Free planTiered plansPrice$200 / month
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Novus Partners
Investment Portfolio Management
Investment analytics platform for institutional investors with portfolio and risk management.
Portfolio performance analytics and attributionPortfolio exposure analysis and monitoringRisk assessment and value at risk calculation - 8Natural Language Processing
Unwrap.ai
Voice of Customer Platforms
Customer feedback analytics platform using AI to extract insights from reviews and tickets.
Multi channel feedback aggregationAuto tagging and categorizationReal time dashboards and visualization - 9Natural Language Processing
Flair NLP
Natural Language Processing
Open-source NLP framework by Humboldt University for state-of-the-art text classification and entity recognition.
Sentiment analysisWord and document embeddings - 10Natural Language Processing
Gensim
Natural Language Processing
Open-source NLP library for topic modeling, document similarity, and word embeddings with efficient implementations.
Topic modeling with lda and lsiWord embeddings and semantic vectorsOptimized c routines for performance
