Amazon Comprehend vs. Azure Text Analytics vs. Google Cloud Natural Language API Comparison


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About Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data.	About Mine insights in unstructured text using NLP—no machine-learning expertise required—using text analytics, a collection of features from Cognitive Service for Language. Gain a deeper understanding of customer opinions with sentiment analysis. Identify key phrases and entities such as people, places, and organizations to understand common topics and trends. Classify medical terminology using domain-specific, pretrained models. Evaluate text in a wide range of languages. Identify important concepts in text, including key phrases and named entities such as people, events, and organizations. Examine what customers are saying about your brand and analyze sentiments around specific topics through opinion mining. Extract insights from unstructured clinical documents such as doctors' notes, electronic health records, and patient intake forms using text analytics for health.	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.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	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 Organizations that want a powerful solution that lets them discover insights and relationships in text	Audience Businesses looking for an AI service to uncover insights like sentiment, entities, and key phrases in unstructured text	Audience Developers seeking a solution to derive insights from unstructured text using Google machine learning
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API	API Offers API
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Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial
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	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	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
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Amazon Founded: 1994 United States aws.amazon.com/comprehend/	Company Information Microsoft Founded: 1975 United States azure.microsoft.com/en-us/services/cognitive-services/text-analytics/	Company Information Google Founded: 1998 United States cloud.google.com/natural-language
Alternatives Google Cloud Natural Language API Google	Alternatives Azure AI Language Microsoft	Alternatives Komprehend
MeaningCloud	Eden AI	Semantria Lexalytics
spaCy	MeaningCloud	Kimola Cognitive Kimola
Lexalytics	Google Cloud Natural Language API Google	Watson Natural Language Understanding IBM
Komprehend View All	Semantria Lexalytics View All	Azure Text Analytics Microsoft View All
Categories Artificial Intelligence (AI) APIs Natural Language Processing Text Mining	Categories Clinical Documentation Natural Language Processing Sentiment Analysis Text Analytics	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
	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	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 AWS AI Services AWS App Mesh AWS Lambda Amazon Web Services (AWS) Axon Ivy Datasaur FormKiQ Gemini 1.5 Flash Gemini 1.5 Pro Gemini 2.0 Gemini 2.0 Flash Gemini Advanced Gemini Nano Gemini Pro Google Cloud AutoML Google Cloud Vision AI Mantium Quickwork Unremot Vertex AI Show More Integrations View All 15 Integrations	Integrations AWS AI Services AWS App Mesh AWS Lambda Amazon Web Services (AWS) Axon Ivy Datasaur FormKiQ Gemini 1.5 Flash Gemini 1.5 Pro Gemini 2.0 Gemini 2.0 Flash Gemini Advanced Gemini Nano Gemini Pro Google Cloud AutoML Google Cloud Vision AI Mantium Quickwork Unremot Vertex AI Show More Integrations View All 3 Integrations	Integrations AWS AI Services AWS App Mesh AWS Lambda Amazon Web Services (AWS) Axon Ivy Datasaur FormKiQ Gemini 1.5 Flash Gemini 1.5 Pro Gemini 2.0 Gemini 2.0 Flash Gemini Advanced Gemini Nano Gemini Pro Google Cloud AutoML Google Cloud Vision AI Mantium Quickwork Unremot Vertex AI Show More Integrations View All 16 Integrations
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