The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions.
Easily verify a person’s information, lookup and check customer data. Personator is a lightweight, flexible, and powerful customer verification and enrichment API. Personator all-in-one cloud solution verifies contact data (name, address, e-mail, phone number), appends missing information, updates addresses with geolocation data and augments with numerous demographic traits as well.
RussianSentimentAnalyzer (RSA) is a JSON API based on the technology stack of Insider Solutions company. It is capable of parsing the input text, reconstructing the meaning of messages with typos, like tweets and finding sentiment polarity oriented towards a particular object. Consider an example: I like new GalaxyS, but do not enjoy new iPhone. If there are no objects, the sentiment of this sentence can be detected as NEUTRAL or MIXED. If, however, GalaxyS has been passed in as an object, the sentiment will be POSITIVE. It will be NEGATIVE for iPhone in this particular example. Currently the API supports Russian language with input texts varying from long formal news posts to informal and short tweets. Looking for text analytics APIs? Check the full list here: https://www.mashape.com/dmitrykey
Dandelion API is a set of semantic APIs to extract meaning and insights from texts in several languages (Italian, English, French, German and Portuguese). It's optimized to perform text mining and text analytics for short texts, such as tweets and other social media. Dandelion API extracts entities (such as persons, places and events), categorizes and classifies documents in user-defined categories, augments the text with tags and links to external knowledge graphs and more. Dandelion API easily scales to support billions of queries per day and can be adapted on demand to support custom and user-defined vocabularies. Additional languages are available on demand.
Cloud-based diabetes management platform. Calculates doses and tracks insulin on board just like an insulin pump would. Predicts blood sugars up to eight hours ahead, and provides historical data like a Continuous Glucose Monitor. Real-time coach provides real time dose adjustment advice, and warnings of pending low blood sugars. Live sharing with parents, teachers, healthcare providers and other care givers. Accepts data from 60 different meters, pumps and CGMS devices. RESTful API, default formats are XML, JSON, RSS and Atom. Prediction - the game-changer in diabetes analytics.
Determine the likely country of origin of a personal name, based on the sociolinguistics of the name (language, culture). Covers all countries, in most scripts (LATIN, CYRILLIC, ARABIC, HAN, BENGALI, HANGUL, MYANMAR,GUJARATI,KANNADA,DEVANAGARI,HIRAGANA, KATAKANA, HEBREW, GEORGIAN, TAMIL). Use it for : diversity analytics, customer intelligence, datamining, predictive analytics.