توضیحات
ABSTRACT
Ideas and opinions of peoples are influenced by the opinions of other peoples. Lot of research is going on analysis of reviews given by peoples. Sentiment analysis is the major computational technique to calculate or observe sentiments of people’s thoughts. Therefore, a method that assigns scores indicating positive and negative opinion about the product is proposed. It uses Hadoop Distributed File System (HDFS) to store data set and run on MapReduce architecture for performing sentiment analysis
INTRODUCTION
Some well-known internet companies like Google, Amazon, LinkedIn, Yahoo! etc have generated a huge amount of structured and unstructured data every day. This exponential growth of data leads to some challenges like processing of large data sets, extraction of useful information from online generated data sets etc. Hadoop is one of the processing tools that is used to analyse and process large data sets. It has two main components: HDFS, Hadoop Distributed File System used for reliable storage of data and MapReduce, which is used to process the data. Hadoop’s MapReduce and HDFS components were inspired by Google technologies on MapReduce and GoogleFileSystem
Hadoop framework is used for sentiment analysis in this paper. MapReduce program for hadoop are written in python language for doing sentiment analysis. Even though hadoop framework is written in java, programs for hadoop need not to be coded only in java but can also be developed in other language like python or c++ using the hadoop streaming interface. With hadoop streaming, programs that acts as the mapper and a program that acts as a reducer needs to be written
Publisher:International Journal of Computer Applications
Year:2015
By: Piyush Gupta,Pardeep Kumar,Girdhar Gopal
File Information:English Language/ 5 Page/Size:768 K
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ناشر:International Journal of Computer Applications
سال :2015
کاری از :Piyush Gupta,Pardeep Kumar,Girdhar Gopal
اطلاعات فایل :زبان انگلیسی/5 صفحه/حجم :768 K
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