Location Wise Opinion Mining of Real Time Twitter Data Using Hadoop to reduce Cyber Crimes

摘要

The opinions of others is very important in our decision making. Twitter plays an important role on sharing user's opinion on a variety of topics, wo mining these twitter data is a very difficult task because its unstructured nature. Location plays an important role in finding opinions towards any topic because the opinions of users may vary from location to location so its very important to find opinion based on location which give in-depth knowledge where the topic is highly accepted or rejected. Opinion Mining deals with opinions or emotions of subjective elements in the textual documents. In this paper, we can take twitter data because on twitter a huge opinions are shared. In these, we can fetching a realtime data from Twitter by using flume and store these data into HDFS which is a storage component of Hadoop. Hadoop is an best open source solution for storing and processing a large amount of data. We can integrate Apache pig and hive with Hadoop and analyze the opinion on the basis of location because opinions are changes from location to location.