Chatterbox Sentiment Detection API

Our platform includes various components which we think could be useful to other people. One of these is our sentiment analysis tool. Therefore, we've exposed the underlying sentiment detection which is used in the Chatterbox platform core. This is specifically designed to predict the sentiment of short, social messages seen on networks such as Twitter. The API is awesome because:

• - It is designed specifically to work with short social messages
• - Super cool machine learning means it can handle slang, misspellings, hashtags, etc
• - It is multilingual, currently supporting English, French, Spanish, Dutch, German and Portuguese. More languages are coming soon.
• - You get pre-built libraries for Java (including Android), Ruby, Python, PHP, Objective-C (including iPhone/iPad).
• - All the hard processing happens on our cloud servers - you won't waste CPU cycles.
• - You can use it for free!

Get it

We've partnered with Mashape to distribute the API. To get immediate access to our API signup for an account at mashape.com and make sure you use the coupon 'chatterboxapi'. We distribute two flavours of the API through Mashape, one is free and comes with a web-based test console, the second is a paid for version for those users who need more flexibility. Once you have a Mashape account the APIs can be found here: Sentiment Analysis APIs.

About it

We've put together a quick presentation that runs you through the API:

Example

You can download libraries in many languages from the API page on Mashape - all follow a similar workflow. This example uses Python.

We've also built some very simple demo applications which can be found on github.

Feedback

We'd love to hear you comments and suggestions. Please do get in touch