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    I Know Your Family: A Hybrid Information Retrieval Approach to Extract Family Information from Microblogs

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    Gopal_ku_0099M_13611_DATA_1.pdf (2.300Mb)
    Issue Date
    2014-08-31
    Author
    Gopal, Jamuna
    Publisher
    University of Kansas
    Format
    61 pages
    Type
    Thesis
    Degree Level
    M.S.
    Discipline
    Electrical Engineering & Computer Science
    Rights
    This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
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    Abstract
    The aim of this project is to identify the family related information of a person from their Twitter Data. We use their personal details, tweets and their friends' details in order to achieve this. Since, we deal with the modern world short text data; we have used a hybrid information retrieval methodology taking into account the Parts of Speech of the data, Phrase Similarity and the Semantic Similarity of the data along with the openly available twitter data. The future use of this research is to develop a Client Side protection tool that will help users validate the data to be posted for privacy breech.
    URI
    http://hdl.handle.net/1808/16832
    Collections
    • Engineering Dissertations and Theses [1055]
    • Theses [3827]

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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