Vivek Narayanan proposed a fast and accurate sentiment classification using an enhanced Naive Bayes model along with authors Ishan Arora and Arjun Bhatia. The paper can be retrieved online from the department of computation and language at Cornell University Library. Along with the article, Vivek has developed Vivek Sentiment Tool, an API that could be useful to access sentiment classifications. This application is about sentiment analysis. Developers who work with sentiment research could benefit from this work. To use it, users need to send a POST request with a JSON array to http://sentiment.vivekn.com/api/batch/
The following is a list of how-to and tutorial content that matched your search term. ProgrammableWeb's how-to content comes from two sources; full-blown tutorials that we publish ourselves and other highly relevant tutorials that we find elsewhere on the Web. This list represents on combination of both tutorial types and if you go to ProgrammableWeb's API University, you'll not only be able to find more, they are organized based on your role (API providers or developers who consumes APIs). If you know of a tutorial that would be of interest to the ProgrammableWeb community, we'd like to know about it. Be sure to check our guidelines for making contributions to ProgrammableWeb.