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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Automate crime news segmentation, knowledge-based generation and public opinion mining for social awareness

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    19241027, 21141081, 21141085_CSE.pdf (2.660Mb)
    Date
    2021-06
    Publisher
    Brac University
    Author
    Sabit, Ahmed Bin
    Ahsan, Asif
    Tasnim, Zarin
    Metadata
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    URI
    http://hdl.handle.net/10361/14975
    Abstract
    In the context of the crime scenario in Bangladesh, people face enormous crime situations which can be eradicated by applying some technological solution. For this a research work needs to be conducted by news segmentation and knowledge base generation. This study aims to determine how authority can target crime scenarios based on public opinion for increasing social awareness. Based on this context there will be an algorithm which will sort out the data sheet as well as the mined data will figure out solutions for respective crime scenarios. These data will be collected from news articles from which a data library will be generated by using natural language processing. After analyzing all data, it will automatically notify the authority with a precise report. Further research is needed to identify other factors that could strengthen the effectiveness of this report.
    Keywords
    Natural Language Processing; Machine Learning; Data Mining
     
    LC Subject Headings
    Crime--Bangladesh.
     
    Description
    This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 85-94).
    Department
    Department of Computer Science and Engineering, Brac University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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