Building a Text Analytics Application?
Read This First.
This is the definitive resource on the cloud-based text analytics API marketplace.
You get almost 400 pages of information and insight, analyzing the features and functions of 34 commercially-available software-as-a-service text analytics APIs.
If you're building a text analytics application, or if you're a text analytics provider reviewing the competition, this guide will save you weeks or even months of research and analysis.
Note: This product is no longer available via our e-commerce site, so the Buy and Sample buttons on this page won't work. If you're interested in the report, please email sales@language-technology.com.
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Text Analytics APIs: A Consumer Guide
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Are you looking for a text analytics API?
Are you building your own NLP stack?
Are you an API provider wondering how your features and functions compare?
You need to read this guide.
It's the only resource that provides a detailed technical analysis of 34 cloud-based APIs available in the marketplace today.
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Text Analytics APIs:
A Consumer Guide
A unique deep-dive technical review of
34 software-as-a-service Text Analytics APIs.
Almost 400 pages of valuable information and insights including:
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The 10 key Text Analytics capabilities defined using vendor-neutral terminology
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How Text Analytics fits into the wider commercial NLP landscape
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Capsule summaries of products from 34 vendors, outlining their key features
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Detailed analysis of each capability offered by each API, with extensive output examples
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Numerous tables enabling easy comparison of the key capabilities offered by each vendor
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Enumeration of the entity types and relations identified by each API
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Cost comparisons for 12 common scenarios of use
Our capsule summaries provide a quick overview of what the APIs offer, covering:
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Key facts about the vendor
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Text Analytics capabilities summarized
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Related functionalities
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Scope for user customization
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Language support
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Programming support and integrations
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Documentation
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Access and pricing
Our detailed discussion of capabilities includes:
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Key definitions of functions and features for Entity Recognition, Sentiment Analysis, Classification, Linguistic Analysis and more
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Detailed comparison tables of the features offered by each API
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Example outputs – see exactly what you’ll get from each API
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We provide details on the free trial offerings from each vendor, and comparison pricing tables that indicate the costs of using each service for a range of typical scenarios involving the processing of tweets, reviews and news stories. This is not a rehash of vendor content: every API has been carefully tested and analyzed.
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You could spend weeks collecting the relevant information from vendor sites, signing up for trial accounts, and fighting with the idiosyncrasies of each API.
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Or you can get everything here, all in one massively hyperlinked eBook that makes it easy to find to the information you need, fast.
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381 pages
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10 key capabilities defined plus 18 niche capabilities described
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35 products reviewed
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50+ tables enumerating and comparing key features
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180+ example outputs
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Comparison pricing for 12 typical usage scenarios.
About the Author:
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Dr Robert Dale is an internationally-recognized expert in Natural Language Processing, with over 30 years of experience in academia and industry. With a PhD from the University of Edinburgh, he’s worked for Microsoft and Nuance, and he’s driven the development of SaaS-based NLP software for a startup. He has taught at the University of Edinburgh in the UK and at Macquarie University in Sydney, and presented tutorials and summer school courses around the world. He has over 150 peer-reviewed publications [see here], including a comprehensive Handbook of Natural Language Processing, and the de facto textbook Building Natural Language Generation Systems.
Get your copy of
Text Analytics APIs: A Consumer Guide
for only US$299
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