Our Mission is to bring data to numbers to empower you to foresee the future in it. This site runs on automation, yet data changes randomly by the hour, a large number of newly published datasets from hundreds of sources picked and bolster into framework consistently. Twitter Sentiment Analytics data are considerably are more the crisp as Twitter. As of now, we analyze tweets for stock symbol only.
Our Sentiment Analysis
We utilize numerous Text mining API's alongside our own algorithm influenced by Naive Bayes classifier to break down every news/blog article as they become publicly accessible. On every session Sentiment Polarity of each article examined, and Entities separated, coordinated and connected to their relative news articles. We additionally keep up a managed algorithm which counts and measure the density of those Elements/Entities and register a value in a correlation SQL table which we dissect further against our facilitated lexical database. Subsequently, we can visualize a Sentiment polarity graph for any given Entity/Keyword/Personality/Data Source and so forth, the greater part of our graph overhauls couple of times each day.