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Related APIs in Category: Analytics
Hyperlocal Demographics, Vehicle Traffic, Economic, Market Signals, and More. !(https://www.google-analytics.com/collect?v=1&t=pageview&tid=UA-166301943-3&cid=2fbf3778-84e6-41a8-ad46-1765dbd5be20&dh=rapid.com&dp=%2Fidealspot-geodata-v1&dt=IdealSpot%20GeoData =1x1) Use this API to request IdealSpot hyperlocal geospatial market insight and geometry data. Broad categories include Demographics, Housing, Spending, Labor, Business Establishments, Economy, Consumer Segmentation, Vehicle Traffic, Polygons, Online Demand. We update more frequently and are more granular than alternatives. Trusted by large enterprise. Query US data and location geometries by rings, drive times, bike times, walk times, public transit times, nation, states, counties, tracts, zipcodes, block groups, opportunity zones. Frequently used for property reporting, retail, commercial real estate, financial and marketing applications, GIS, and spatial data science or machine learning.
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