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API, Application Development, Big Data, Classification, Content Management, Data, Data Mining, Documents, Extraction, Keywords, Machine Learning, Parsing, PDF, Search, Semantics, Sentiment, Text
With the help of Intellexer API it is possible to expand the capabilities of different text-analysing and document management systems: introduce sentiment analysis and named entity recognition, summarization and comparison of documents, natural language search of documents and web content. Intellexer API can be effectively used to: capture customer’s expectations, attitudes and aversions; discover emerging trends; understand product issues in real-time; increase revenue and profits from vendor services; gather about competitors activities; learn more about a particular company; find out where and when an event happened, who was involved; protect against intellectual rights infringement.
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Now that your API has been published and external developers are beginning to consume it, our focus shifts again towards a balance between business and technical issues. In this part of the series we take a look at how a business can leverage the technical API to grow a developer community?
Just when we thought the data model behind ProgrammableWeb's API directory was designed to capture all the different edge cases that API providers throw our way, along comes EffectiveSoft with two completely separate but identical endpoints for the same thing. So, why would an API provider do that?
Information professionals who work in higher education institutions encounter a number of problems while managing data and addressing the needs of those who use their electronic libraries. This tutorial shows you how tools available via the Intellexer API can help address those challenges.
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