The Intellexer API enables developers to embed text mining products in consumer or enterprise applications, or web-services using JSON. Intellexer API includes natural language processing solutions for sentiment analysis, named-entity recognition, summarization, multi-document summarization, plain text extraction from different file formats (pdf, doc, rtf, html, ppt, chm, etc.), document comparison, language detection, spellchecking and more. You can use Intellexer API with any software component that issues HTTP requests.
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.
Named-Entity Recognition involves identifying an entity in a text and assigning it a class label. These classifications can include People, Locations, and Organisations, among others depending on the tool. This comparison looks at the performance of 10 natural language processing APIs.
We've added twelve APIs to the ProgrammableWeb directory in various categories including Internet of Things, Messaging, Mapping and MetaData. Included today are APIs for tagging in OpenStreetMap and for using the Deepviz Malware Analyzer sandbox. Here's a summary of what's new.