Mashups using the same API (1)
In this interview with Raj Kadam, CEO of Viralheat, we will discuss the growth of the company's API and the steps that were taken to reach this point. Their Sentiment API is now getting 300 million calls per week, and the free API allows users to classify text with regard to sentiment.
Semantinet’s slogan, “Information into knowledge” aptly describes their work. Semantinet is building a giant information graph of people, places and concepts linked together by whichever relationships are detected from both structured and unstructured data sources on the web. It’s a simple thing to describe, but the implications are profound. This type of information technology is so much more powerful than a collection of articles that can be searched by keyword. What we have here resembles how we imagine information and memories are stored in our own minds, and its available to be used in your own project through the Semantinet Knowledge Graph API.
Applied Informatics HaVOC Health Vocabulary
||HaVoc is a REST based API which offers access to every medical terminology registered in the UMLS (Unified Medical Language System), and is used to implement health and biomedical vocabularies to...||Healthcare||06.02.2016|
IBM Watson Emotion Analysis
||The IBM Watson Emotion Analysis REST API allows developers to access and integrate the functionality of IBM Watson Emotion Analysis with other applications. Some example API methods include...||Sentiment||05.29.2016|
Microsoft Azure Machine Learning Text Analytics
||The Microsoft Azure Machine Learning Text Analytics API is used to detect sentiment, key phrases, topics, and language from text. It supports 120 languages, and does not require training data. 4 paid...||Text||05.27.2016|
||The Instaparser Text API allows developers to extract the body text of a page for use in text-based analyses, such as natural language processing and sentiment analysis. Instaparser is a service...||Text||05.24.2016|
Ontotext S4 Text Analytics (German)
||The News Annotation service in German language discovers various types of entities from texts via API. The extraction is based on gazetteers from trusted sources such as the curated Freebase, the...||Text||05.18.2016|