• Topic-based engagement analysis of an online social service

    Author(s):
    Nripesh Trivedi (see profile)
    Date:
    2019
    Item Type:
    Article
    Permanent URL:
    http://dx.doi.org/10.17613/b0dk-8j70
    Abstract:
    The content on the web is increasing at an explosive rate. This makes it important to generate interpretations of web content in a way that could facilitate building of relevant systems. Keeping this notion in focus, an analysis is carried out to understand and generate interpretations of engagement of users with respect to topics discussed on an online social service [5] (here a hacker forum). Since this could be the first research of its kind, results are presented in a way that may be easily interpreted and used for carrying out further research. A number of existing machine learning techniques and models are used in this research. There is a section that points out the usefulness of these results in encouraging user participation.
    Metadata:
    Status:
    Published
    Last Updated:
    1 month ago
    License:
    All Rights Reserved
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