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  1. 1
    Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques

    Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques by Umesh Kumar Lilhore (17727684)

    Published 2022
    “…This research work analyses cervical cancer and various risk factors to help detect cervical cancer. The proposed model Boruta with SVM and various popular ML models are implemented using Python and various performance measuring parameters, i.e., accuracy, precision, F 1 – Score , and recall. …”
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  2. 2
    Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach

    Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach by Arfan Ahmed (17541309)

    Published 2022
    “…</p><h3>Methods</h3><p dir="ltr">We analyzed 205,581 user review comments from chatbots designed for users with anxiety and depression symptoms. Using scraper tools and Google Play Scraper and App Store Scraper Python libraries, we extracted the text and metadata. …”
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  3. 3
    KNNOR: An oversampling technique for imbalanced datasets

    KNNOR: An oversampling technique for imbalanced datasets by Ashhadul Islam (16869981)

    Published 2021
    “…The proposed method is easy to use and has been made open source as a python library.</p><h2>Other Information</h2> <p> Published in: Applied Soft Computing<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.asoc.2021.108288" target="_blank">https://dx.doi.org/10.1016/j.asoc.2021.108288</a></p>…”
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  4. 4
    Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD

    Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD by Aziz Mehmood Farooqi (20748788)

    Published 2024
    “…In this paper, four different tools were designed and constructed for modeling and analyzing narrative network such as python library (NetworkX), powerful graph database Neo4j and two different network analysis tools named Gephi and CytoScape. …”
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  5. 5
    Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study

    Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study by Alaa Abd-Alrazaq (17430900)

    Published 2020
    “…</p><h3>Methods</h3><p dir="ltr">Leveraging a set of tools (Twitter’s search application programming interface (API), Tweepy Python library, and PostgreSQL database) and using a set of predefined search terms (“corona,” “2019-nCov,” and “COVID-19”), we extracted the text and metadata (number of likes and retweets, and user profile information including the number of followers) of public English language tweets from February 2, 2020, to March 15, 2020. …”
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