• Login
    • Library Home
    View Item 
    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Evaluating user influence in Twitter based on hashtags using data mining

    Thumbnail
    View/Open
    13241007,16341013,14141003,13201012_CSE.pdf (1.443Mb)
    Date
    2017-08
    Publisher
    BRAC University
    Author
    Neha, Maheen Absar
    Rahman, Md. Intisher
    Nuzhat, Mahpara
    Zereen, Sifat
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/8907
    Abstract
    As more and more data is being processed and generated every day, it has become a tremendous challenge to process and analyze. Big data analysis is a process of collecting, organizing and analyzing large sets of data to discover patterns and other useful information. It can help understand the information contained within data using specialized tools and applications for predictive analysis, data mining, text mining, forecasting and data optimization. We will be working with data from the most popular microblogging platform, Twitter, to study the social issues concerning various forms of harassment. Twitter users categorize status messages (Tweets) using hashtags, which are also used for searching specific topics or events. We can determine trends in Twitter-documented bullying among different demographics by analyzing the hashtags which represent different forms of social attacks, incidents of oppression, discrimination and cultural persecution. Out of the several tools used worldwide to interpret datasets, we will be using an advanced data mining tool called STATISTICA.
    Keywords
    Twitter; Statistica; Hashtags; Tweet; Data mining; Text mining
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 54-55).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

    Copyright © 2008-2019 Ayesha Abed Library, Brac University 
    Contact Us | Send Feedback
     

     

    Policy Guidelines

    • BracU Policy
    • Publisher Policy

    Browse

    All of BracU Institutional RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Copyright © 2008-2019 Ayesha Abed Library, Brac University 
    Contact Us | Send Feedback