Google Cloud Natural Language API vs. Spark NLP Comparison


Google Cloud Natural Language API Google	Spark NLP John Snow Labs	+	+
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About Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.	About Experience the power of large language models like never before, unleashing the full potential of Natural Language Processing (NLP) with Spark NLP, the open source library that delivers scalable LLMs. The full code base is open under the Apache 2.0 license, including pre-trained models and pipelines. The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main components, estimators and transformers. The estimators have a method that secures and trains a piece of data to such an application. The transformer is generally the result of a fitting process and applies changes to the target dataset. These components have been embedded to be applicable to Spark NLP. Pipelines are a mechanism for combining multiple estimators and transformers in a single workflow. They allow multiple chained transformations along a machine-learning task.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Developers seeking a solution to derive insights from unstructured text using Google machine learning	Audience Healthcare providers seeking a library to manage their machine learning models and pipelines
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing Free Free Version Free Trial
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Google Founded: 1998 United States cloud.google.com/natural-language	Company Information John Snow Labs United States sparknlp.org
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Categories AI Tools Artificial Intelligence (AI) APIs Data Extraction Healthcare AI Machine Learning Natural Language Generation Natural Language Processing Qualitative Data Analysis Sentiment Analysis Text Analytics Text Mining	Categories Natural Language Processing
Natural Language Processing Features Co-Reference Resolution In-Database Text Analytics Named Entity Recognition Natural Language Generation (NLG) Open Source Integrations Parsing Part-of-Speech Tagging Sentence Segmentation Stemming/Lemmatization Tokenization Show More Features Data Extraction Features Disparate Data Collection Document Extraction Email Address Extraction Image Extraction IP Address Extraction Phone Number Extraction Pricing Extraction Web Data Extraction Machine Learning Features Deep Learning ML Algorithm Library Model Training Natural Language Processing (NLP) Predictive Modeling Statistical / Mathematical Tools Templates Visualization Natural Language Generation Features Business Intelligence Chatbot CRM Data Analysis and Reports Email Marketing Financial Reporting Multiple Language Support SEO Web Content Qualitative Data Analysis Features Annotations Collaboration Data Visualization Media Analytics Mixed Methods Research Multi-Language Qualitative Comparative Analysis Quantitative Content Analysis Sentiment Analysis Statistical Analysis Text Analytics User Research Analysis Text Mining Features Boolean Queries Document Filtering Graphical Data Presentation Language Detection Predictive Modeling Sentiment Analysis Summarization Tagging Taxonomy Classification Text Analysis Topic Clustering
Integrations ALBERT Conda Facebook Gemini 1.5 Flash Gemini 1.5 Pro Gemini 2.0 Flash Gemini Advanced Gemini Nano Gemini Pro Google Cloud Platform Google Cloud Speech-to-Text Java Maven OpenAI Python R Scala Vertex AI Whisper n8n Show More Integrations View All 16 Integrations	Integrations ALBERT Conda Facebook Gemini 1.5 Flash Gemini 1.5 Pro Gemini 2.0 Flash Gemini Advanced Gemini Nano Gemini Pro Google Cloud Platform Google Cloud Speech-to-Text Java Maven OpenAI Python R Scala Vertex AI Whisper n8n Show More Integrations View All 21 Integrations
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