In today's Digital World utilizing Social and Mobile data to get the elusive 360-degree view of users is becoming crucial. Social Channels like Facebook and Twitter are becoming marketing engines for enterprises and enabling smarter business decisions. People express their views, experiences and thoughts through various social media platforms, blogs and other discussion forums. If we consider Twitter, millions of tweets are accumulated every day. Enterprises can analyze these tweets to predict (or) extract information on the success of a product (or) service.

What is Sentiment Analysis? How can I derive value from Twitter? To answer these questions, our Big Data Team dives into the intricacies of a Sentiment Analysis with Apache Hadoop and Flume. We will also cover some of the most common analysis use cases in major industries today.

In today's Digital World utilizing Social and Mobile data to get the elusive 360-degree view of users is becoming crucial. Social Channels like Facebook and Twitter are becoming marketing engines for enterprises and enabling smarter business decisions. People express their views, experiences and thoughts through various social media platforms, blogs and other discussion forums. If we consider Twitter, millions of tweets are accumulated every day. Enterprises can analyze these tweets to predict (or) extract information on the success of a product (or) service.

What is Sentiment Analysis? How can I derive value from Twitter? To answer these questions, our Big Data Team dives into the intricacies of a Sentiment Analysis with Apache Hadoop and Flume. We will also cover some of the most common analysis use cases in major industries today.

In today's Digital World utilizing Social and Mobile data to get the elusive 360-degree view of users is becoming crucial. Social Channels like Facebook and Twitter are becoming marketing engines for enterprises and enabling smarter business decisions. People express their views, experiences and thoughts through various social media platforms, blogs and other discussion forums. If we consider Twitter, millions of tweets are accumulated every day. Enterprises can analyze these tweets to predict (or) extract information on the success of a product (or) service.

What is Sentiment Analysis? How can I derive value from Twitter? Join us on January 14th, 2016 at 01:00 PM EST as our Big Data Team dives into the intricacies of a Sentiment Analysis with Apache Hadoop and Flume. We will also cover some of the most common analysis use cases in major industries today.

In today's Digital World utilizing Social and Mobile data to get the elusive 360-degree view of users is becoming crucial. Social Channels like Facebook and Twitter are becoming marketing engines for enterprises and enabling smarter business decisions. People express their views, experiences and thoughts through various social media platforms, blogs and other discussion forums. If we consider Twitter, millions of tweets are accumulated every day. Enterprises can analyze these tweets to predict (or) extract information on the success of a product (or) service.

What is Sentiment Analysis? How can I derive value from Twitter? Join us on January 14th, 2016 at 01:00 PM EST as our Big Data Team dives into the intricacies of a Sentiment Analysis with Apache Hadoop and Flume. We will also cover some of the most common analysis use cases in major industries today.