Survey on Buddy Analytics Based on Social Media

Abstract: „BIG-DATA‟ used in different industries over the last few years, on a scaling that generated lots of data every day. Big Data is a term applied to data sets of very large size such that the traditional databases are unable to process their operations in a significant amount of time. Big Data is a collection of data that is large and/or complex to process using data processing applications, Hadoop is a distributed paradigm used to manipulate the large amount of data. It actually holds the huge amount of data & perform the operations like data analysis, result analysis, data analytics etc. It is highly scalable computing platform. Productive E-commerce sites, Facebook, Twitter one of the largest social media site receives comments, tweets or customer reviews in millions every day in the range of terabyte or petabytes per day. Ideas and opinions of people are influenced by the opinions of other people. Lot of research is going on analysis of reviews given by people. We can collect the data from the social media site by using BIGDATA eco-system using online streaming tool Flume. We are using Hive and its queries to give the sentiment data based up on the groups that we have defined in the HQL (Hive Query Language). Here we have categorized this sentiment analysis into 3 groups like comments that are having positive, moderate and negative comments. This Analytics paper provides a way of analyzing of big data such as Facebook data using Apache Hadoop which will process and analyze the comments on a Hadoop clusters.

Keywords: Hadoop, Big Data, Map Reduce, Facebook, HDFS, Sentimental Analysis, Flume.