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API Mashups (2)
This tool is written in PHP and it performs Sentiment Analysis on Facebook posts by using the Datumbox API 1.0v.
A tool for evaluating the accuracy of Sentiment Analysis REST API services, against a gold standard dataset (a list of manually annotated sentences). Currently supports Alchemy, Bitext, Chatterbox,...
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As days become shorter and shorter ushering in a new season, yet another week of API profiling comes to an end. Lets take a look back at some of the APIs that caught our attention.
Build a Facebook Sentiment Analysis tool
||This tutorial shows how to build a Facebook Sentiment Analysis tool with Facebook’s Graph API Search and the Datumbox API 1.0v. After following the steps, users will be able to classify public posts from users and pages as positive, negative, and neutral. The guide was written by Vasilis Vryniotis, author of Datumbox Machine Learning Framework.|
Sentiment Analysis on Twitter with R language
||Detailed guide on how to perform twitter sentiment analysis with DatumBox by using R language.|
Datumbox Python Wrapper
||Python Wrapper for Datumbox API service.|
DatumBox API for Node.js
||This module is designed to make the DatumBox API available in Node.js. Its pretty inspired and ported from the PHP Wrapper.|
Ruby Datumbox Wrapper
||It's a simple Ruby Datumbox Wrapper. It has only one class, called Datumbox (datumbox.rb), which makes all the work for you. It uses the RestClient library to make remote calls to the Datumbox API. This class has one method to each available service provided by the Datumbox.|
How to build an Intelligent Antispam WordPress Plugin
||In this article we will see how we can build a WordPress plugin which uses Machine Learning to block spam, adult or even negative comments from our blog. The plugin is compatible with WordPress 3.6v or higher and uses Datumbox API 1.0v.|
How to build a Twitter Sentiment Analysis Tool with Datumbox API
||Will show how you can build a simple Sentiment Analysis tool which classifies tweets as positive, negative or neutral by using the Twitter REST API 1.1v and the Datumbox API 1.0v. Even though the examples will be given in PHP, you can very easily build your own tools in the computer language of your choice.|
|Datumbox Framework||Datumbox Machine Learning Framework is written Java, which enables the development of Machine...|
Facebook Sentiment Analysis Tool
||This tool is written in PHP and it performs Sentiment Analysis on Facebook posts by using the Datumbox API 1.0v.|
||A tool for evaluating the accuracy of Sentiment Analysis REST API services, against a gold standard dataset (a list of manually annotated sentences). Currently supports Alchemy, Bitext, Chatterbox, Datumbox, Repustate, Semantria, Skyttle, and Viralheat.|