Related APIs in Category: Classifieds
Summarize the content of a web page. Returns a summary, the parts of speech for each sentence, the extracted HTML, and the content make up of the page. Natural Language Processing (NLP) gives the system the ability to find the content on the page, but Natural Language Understanding (NLU) enables that content to be classified, and ranked. EnElYou uses a proprietary NLP engine that is faster than any competitor, and maintains high accuracy rates. The synonym and concept engine allows content to be summarized ranking more than keywords. Concepts and Topics influence ranking. Unlike other API's Character counts are very precise. The engine will do its best to get the best summary possible with in the character counts. The "Reauthor" feature rewrites some portions of summaries to make them more concise.
Avira URL Safety Cloud is part of Avira's award-winning security solutions and delivers an instant classification of URLs, based on the categorization of worldwide Internet resources (Websites, Domains, IPs, Service URIs, mail, links). It enables you to protect your users from malicious URLs.
Entity extraction == Named Entity Recognition == This API annotates text and returns identified entities, such as people, locations, dates, products, etc The text also gets classified into predefined or custom categories, such as politics, entertainment->music, technology etc. We are using a huge database of entities (addresses, celebrities, etc) and combining it with pattern recognition approaches. Please contact us if you need custom entities or topics.
This API endpoint returns the geo location of any IP, with relevant information like Continent, Country, Region, City, Postal code, Latitude and Longitude, Autonomous System and Reverse Hostname. Moocher.io is a set of lists like IP, domains, emails, passwords, creditcard BIN/IIN. Some of them marked as 'abusers' by several groups and initiatives of users and communities, and others used to filter out potential abusers. Moocher.io can be defined as a Look up as a Service for developers and product companies that want to know in realtime if their existing or potential users have been classified as 'abusers' by one or more of these lists.
This API allows to classify with 91% accuracy arrhytmias from a single lead ECG (channel 0) usually found in ECG bracelets like iWatch 4.0 and others. It uses state of art Deep Learning techniques presented in A new ConvNet architecture for heartbeat classification ICPRAI 2018. The API returns the class each classified heartbeat belongs to: 0 = Normal Beat 1 = Super Ventricular Ectopic Beat 2 = Ventricular Ectopic Beat 3 = Fused (Normal + ventricular ectopic beats)