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<mods ID="babafemi-akinfaderin-2020-predicting">
    <titleInfo>
        <title>Predicting and Analyzing Law-Making in Kenya</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Oyinlola</namePart>
        <namePart type="family">Babafemi</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Adewale</namePart>
        <namePart type="family">Akinfaderin</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-jul</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the The Fourth Widening Natural Language Processing Workshop</title>
        </titleInfo>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Seattle, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Modelling and analyzing parliamentary legislation, roll-call votes and order of proceedings in developed countries has received significant attention in recent years. In this paper, we focused on understanding the bills introduced in a developing democracy, the Kenyan bicameral parliament. We developed and trained machine learning models on a combination of features extracted from the bills to predict the outcome - if a bill will be enacted or not. We observed that the texts in a bill are not as relevant as the year and month the bill was introduced and the category the bill belongs to.</abstract>
    <identifier type="citekey">babafemi-akinfaderin-2020-predicting</identifier>
    <part>
        <date>2020-jul</date>
        <extent unit="page">
            <start>103</start>
            <end>106</end>
        </extent>
    </part>
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