The multilingual sentiment analysis API (with exceptional accuracy, 83.4% as opposed to industry standard of 65.4%, and available in Mandarin) from classifies social media texts as positive or negative, with a free daily allowance to get you started. The system uses advanced statistical models (machine learning & NLP) trained on social data, meaning the detection can handle slang, common misspellings, emoticons, hashtags, etc. You can use this API for free. If you require more flexibility and larger scale you can move up to a paid-for plan. Please note: The free plan offers 500 statuses classified per day - any use over this will be charged for. If you are using more than 500 statuses per day it is more cost effective to upgrade to one of the low cost, paid-for plans or contact us direct for an Enterprise offering.
Genderize.io determines the gender of a first name. Use the API for analytics, ad targeting, user segmenting etc. It utilizes big datasets of information, from user profiles across major social networks and exposes this data through its API. The response includes a certainty factor as well.
Name Toolkit is a domain name suggestion, registration and whois info provider. Our focus is on speed, simplicity and honesty.
esseguin Paid Usage
A collection of functions that will remove contact information (phone numbers, email, and/or addresses) from a string
lambda Paid Usage
A computer vision api for facial recognition and facial detection that is a perfect face.com replacement. We currently have a free api for face detection.
Face.com alternative! Our fast, robust and scalable rekognition engine can do facial detection, crawling, recognition, scene understanding! It can be automatically trained using images and tags on Facebook! Please visit http://rekognition.com/ or email me in mashape to register free quota!
Free plan available! The fastest and most accurate Meaning Recognition (Word Sense Disambiguation) API in the world. Recognises any nouns along with their correct meanings in a body of text and allows you to provide a rich user-interface with meaning definitions. More exhaustive (and useful) bindings are available at: http://github.com/SpringSense/ruby-api-bindings http://github.com/SpringSense/java-api-bindings http://github.com/SpringSense/python-api-bindings Example usage: https://github.com/SpringSense/dumber-downer
Generate Word Clouds from blocks of text. Multi color and different sizes illustrate the frequency, and the "vibe" of the bigger text. Try it with blog posts, article text, speeches, tweet histories, emails, or any other written word.