The Concept Extraction API offered by HP IDOL OnDemand lets developers extract key concepts from text by using statistical methods. Developers provider some input text or a document, and this API returns the best terms and phrases. HP IDOL OnDemand offers an array of data processing APIs for audio-video analytics, connectors, format conversion, image analysis, indexing, search, prediction, text analysis, user management, and more.
The following is a list of sample source code snippets that matched your search term. Source code snippets are chunks of source code that were found out on the Web that you can cut and paste into your own source code. Whereas most of the sample source code we've curated for our directory is for consuming APIs, we occasionally find something interesting on the API provider side of things. If you know of some sample source code that would be of interest to the ProgrammableWeb community, we'd like to know about it. Be sure to check our guidelines for making contributions to ProgrammableWeb.
The HPE Haven on Demand Sentiment Analysis Python Sample Code by HPE Haven on Demand demonstrates how to integrate sentiment analysis into applications. It includes requests and responses to access the API.
The HPE Haven On Demand Ruby Sample Code by HPE Haven On Demand interacts with the API to analyze sentiment, create connectors, and test indexing. JSON callbacks with requests and returns are available on GitHub.
The HPE Haven On Demand Python Sample Code by HPE Haven On Demand demonstrates OCR, entity extraction, and sentiment analysis. Demos include requests and responses with its respective parameters and context.
The HPE Haven On Demand R Sample Code by HPE Haven On Demand demonstrates API interaction, with a demo video available on YouTube. Developers can learn to write a script step by step, following the instructions provided at GitHub or at https://www.youtube.com/watch?v=BSNzOddWlFQ