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Free Download Sentiment Computing For The News Event Based On The Social Media Big Data Project in Java with source code

Java project     kalai selvi    2020-01-05

3 Reviews
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Sentiment Computing For The News Event Based On The Social Media Big Data project is a web application which is developed in Java platform. This Java project with tutorial and guide for developing a code. Sentiment Computing For The News Event Based On The Social Media Big Data is a open source you can Download zip and edit as per you need. If you want more latest Java projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. Zip file containing the source code that can be extracted and then imported into hadoop. This Source code for BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering final year students can submit in college. This script developed by kalai selvi. This web application 100% working smooth without any bug. It is developed using bigdata,hadoop,java and Database hdfs. This software code helpful in academic projects for final year students. We have a great collection of Java projects.





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About Project



project Name :  Sentiment Computing For The News Event Based On The Social Media Big Data
project ID :  2193
Developer Name :  kalai selvi
Upload Date :  2020-01-05
project Platform :  Java
Programming Language :  bigdata,hadoop,java
IDE Tool :  hadoop
project Earning :  kalai selvi Earn Rs.150 from this project.
Database :  hdfs
project Type :  web Application
No of project Download :  40
project Total View :  840
Today Trends :  186
Current Month Trends :  187
Last Month Trends :  27
project Source Code Link :   Download Here (3.9281MB)
project Report Link :   Download here  (0.5553MB)

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Features of the Project

The explosive increase of the social media data on the web has created and promoted the development of the social media big data mining area welcomed by researchers from both academia and industry. The sentiment computing of news event isa significant component of the social media big data. It has also attracted lots of researches which could support many real-world applications, such as public opinion monitoring for governments and news recommendation for websites. However, existing sentiment computing methods are mainly based on the standard emotion thesaurus or supervised methods, which are not scalable to the social media big data. Therefore, we propose an innovative method to do the sentiment computing for news events. More specially, based on the social media data (i.e., words and emoticons) of a news event, a Word Emotion Association Network (WEAN) is built to jointly express its semantics and emotions, which lays the foundation for the news event sentiment computation. Based on WEAN, a word emotion computation algorithm is proposed to obtain the initial word emotions which are further refined through the standard emotion thesaurus. With the word emotions in hand, we can compute every sentence’s sentiment. Experimental results on real-world datasets demonstrate the excellent performance of the proposed method on the emotion computing for news events.


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