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                <identifier>oai:data.mendeley.com/fhvsvsbvtg.3</identifier>
                <datestamp>2022-07-28T21:17:07Z</datestamp>
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    <dc:creator>degu, mekuanent</dc:creator>
    <dc:title>Amharic dataset for hate speech detection</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>the dataset is collected from social media such as facebook and telegram.
the dataset is further processed. the collection are D1_org: this dataset is neither stemed nor stopword are remove: D1_sf: in this dataset stopwords are removed but not stemmed and in D3_stemed datset is stemmed and stopwords are removed. stemming is done using hornmorpho developed by Michael Gesser( available at https://github.com/hltdi/HornMorpho)
all datasets are normalized and free from noise such as punctuation marks and emojs.
</dc:description>
    <dc:subject>Natural Language Processing</dc:subject>
    <dc:subject>Machine Learning Algorithm</dc:subject>
    <dc:subject>Deep Learning</dc:subject>
    <dc:subject>Language</dc:subject>
    <dc:subject>Long Short-Term Memory Network</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/fhvsvsbvtg.3</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/fhvsvsbvtg.3</dc:identifier>
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    <dc:date>2022-07-28T21:17:07Z</dc:date>
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