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.
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.
This tool works by examining individual words and short sequences of words (n-grams) and comparing them with a probability model. The probability model is built on a prelabeled test set of IMDb movie reviews. It can also detect negations in phrases, i.e, the phrase "not bad" will be classified as positive despite having two individual words with a negative sentiment.
This is a short text (a twitt or a single sentence) sentiment classification API. It has two types of analysis: one for finding more (but less accurate) sentiment snippets and another one for finding more accurate sentiment (but missing some difficult cases). Long documents are planned to be supported later.
100% free service including sentiment analysis, content extraction, and language detection. Enjoy!
Semantria is a text analytics and sentiment analysis API that is affordable and super easy to use. Analyze tons of customer feedback, survey results, tweets or other social media comments in a matter of minutes. Integrate this REST API right into your application or download the Microsoft Excel add-in to process your data