Ridiculously simple data sharing for the Internet of Things. Fast, free and ridiculously simple— it's like Twitter for social machines.
Knowledge API for Quora. Provides access to various details of any question using simple REST API: Question: Title Details Topics Answers (Upto 6 top answers): Author Votes Rank Answer body Answer body (HTML)
Collabinate provides an API for hosted activity streams, allowing you to seamlessly build social feeds, microblogging, and collaboration into your application.
User Demographics allows to extract some important demographics (type, gender, age) for a given social media user. Multilingual models are available including English, Spanish, French and Italian, among others. State-of-the-art information extraction and text classification technology are used to guess those facts from his/her login, name and profile description.
This is the development sandbox instance of the Collabinate API. Collabinate provides an API for hosted activity streams, allowing you to seamlessly build social feeds, microblogging, and collaboration into your application.
This service connects extracted entities and concepts to related semantic linked data. The main source of external information used is DBpedia, which provides structured data extracted from Wikipedia (check the DBpedia Data Set to read more on how this is done). Through a specific identifier, a number of attributes associated to an element are returned in the language specified by the user, allowing to expand the information already extracted through other Textalytics' services (such as Topics Extraction or Lemmatization, POS and Parsing).
Automatic multilingual text classification according to pre-established categories defined in a model. The algorithm used combines statistic classification with rule-based filtering, which allows to obtain a high degree of precision for very different environments. Three models available: IPTC (International Press Telecommunications Council standard), EuroVocs and Corporate Reputation model. Languages covered are Spanish, English, French, Italian, Portuguese and Catalan.
Textalytics Topics Extraction tags locations, people, companies, dates and many other elements appearing in a text written in Spanish, English, French, Italian, Portuguese or Catalan. This detection process is carried out by combining a number of complex natural language processing techniques that allow to obtain morphological, syntactic and semantic analyses of a text and use them to identify different types of significant elements. The elements identified are classified according to the following predefined categories: named entities (people, organizations, places, etc.), concepts (significant keywords in the text), time expressions, money expressions, URIs, phone number expressions, alphanumeric patterns, quotations, relations [beta]. Remember, all this functionality in a multilingual environment.
Textalytics Media Analysis API analyzes mentions, topics, opinions and facts in all types of media. This API provides services for: - Sentiment analysis - Extracts positive and negative opinions according to the context. - Entities extraction - Identifies persons, companies, brands, products, etc. and provides a canonical form that unifies different mentions (IBM, International Business Machines Corporation, etc.) - Topic and keyword extraction - Facts and other key information - Dates, URLs, addresses, user names, e-mails and money amounts. - Thematic classification - Organize information by topic using IPTC standard classification (more than 200 categories hierarchically structured). - Configured for different type of media: microblogging and social networks, blogs and news - All features available in Spanish and English
Track URL shares, likes, tweets, pagecount, all in one place! Currently tracking Facebook, Twitter, Reddit, LinkedIn, Digg, Delicious, StumbleUpon, Pinterest, and Google+1