Annotated Bibliography - 3 Cybercrimes in 2020
9/19/20, 8:50 AMLocation Wise Opinion Mining of Real Time Twitter Data Using Hadoop to redu...: UC MegaSearch
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Location Wise Opinion Mining of Real Time Twitter Data Using Hadoop to reduce Cyber Crimes
Mishra, Shubha Shukla, Piyush Kumar Agarwal, Ratish
2nd International Conference on Data, Engineering and Applications (IDEA) Data, Engineering and Applications (IDEA), 2020 2nd International Conference on. :1-6 Feb, 2020
IEEE
2020
Communication, Networking and Broadcast Technologies Computing and Processing sentiment analysis Hadoop Apache flume pig location-based big data
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
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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.
Conference Acronym: IDEA
Conference
English
978-1-7281-5718-4 978-1-7281-5717-7
2020 2nd International Conference on Data, Engineering and Applications (IDEA)
10.1109/IDEA49133.2020.9170700
Copyright 2020, IEEE
9170700
IDEA
2020
IEEE Conference
Conference Location: Bhopal, India, India
Conference Start Date: 28 Feb. 2020
Conference End Date: 29 Feb. 2020
edseee.9170700
IEEE Xplore Digital Library
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