• Find People
  • Campus Map
  • PiratePort
  • A-Z
    • About
    • Submit
    • Browse
    • Login
    View Item 
    •   ScholarShip Home
    • Dissertations and Theses
    • Master's Theses
    • View Item
    •   ScholarShip Home
    • Dissertations and Theses
    • Master's Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of The ScholarShipCommunities & CollectionsDateAuthorsTitlesSubjectsTypeDate SubmittedThis CollectionDateAuthorsTitlesSubjectsTypeDate Submitted

    My Account

    Login

    Statistics

    View Google Analytics Statistics

    SYSTEMATIC REVIEW OF LITERATURE USING TWITTER AS A TOOL

    Thumbnail
    View/ Open
    PRADYUMN-MASTERSTHESIS-2018.pdf (614.7Kb)

    Show full item record
    Author
    Pradyumn, Mudit
    Abstract
    Twitter has over 330 million active monthly users producing roughly 500 million Tweets per day, or 200 billion Tweets a year. Making this one of the largest human-generated opinion data collections. In addition to this major advantage, Twitter generates real-time data, making it possible to gain insights on trending information instantaneously. People post about a wide variety of subjects, including their opinions, feelings, situations, current trends, and products. This makes it a great data source for analyzing the sentiments of people on a variety of subjects. In this study, out of 1025 research papers on Twitter data analytics from 2011-2017, papers from only 20 selected journals were considered for review. They were then classified based on their year of publication, their titles, data mining methods, and application areas. In the course of this study a tool for the Sentiment Analysis of the Twitter data was developed and used to conduct a case study on individuals on marijuana use during pregnancy.
    URI
    http://hdl.handle.net/10342/6950
    Subject
     Insight; Extraction; Classification; Sentiment Analysis 
    Date
    2018-07-17
    Citation:
    APA:
    Pradyumn, Mudit. (July 2018). SYSTEMATIC REVIEW OF LITERATURE USING TWITTER AS A TOOL (Master's Thesis, East Carolina University). Retrieved from the Scholarship. (http://hdl.handle.net/10342/6950.)

    Display/Hide MLA, Chicago and APA citation formats.

    MLA:
    Pradyumn, Mudit. SYSTEMATIC REVIEW OF LITERATURE USING TWITTER AS A TOOL. Master's Thesis. East Carolina University, July 2018. The Scholarship. http://hdl.handle.net/10342/6950. March 04, 2021.
    Chicago:
    Pradyumn, Mudit, “SYSTEMATIC REVIEW OF LITERATURE USING TWITTER AS A TOOL” (Master's Thesis., East Carolina University, July 2018).
    AMA:
    Pradyumn, Mudit. SYSTEMATIC REVIEW OF LITERATURE USING TWITTER AS A TOOL [Master's Thesis]. Greenville, NC: East Carolina University; July 2018.
    Collections
    • Computer Science
    • Master's Theses
    Publisher
    East Carolina University

    xmlui.ArtifactBrowser.ItemViewer.elsevier_entitlement

    East Carolina University has created ScholarShip, a digital archive for the scholarly output of the ECU community.

    • About
    • Contact Us
    • Send Feedback