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.
This is a simple, unofficial wrapper for Google Geocoding API
Sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition.
Sentiment analysis and keyword extraction for English, French, German, Russian. See http://www.skyttle.com for demos, tutorials and example clients. The API is reachable on https://sentinelprojects-skyttle20.p.mashape.com/
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
AlchemyAPI provides advanced cloud-based and on-premise text analysis infrastructure that eliminates the expense and difficulty of integrating natural language processing systems into your application, service, or data processing pipeline.