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    <responseDate>2026-10-15T09:49:21Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/64cc5w5dxy.1</identifier>
                <datestamp>2023-08-13T06:21:46Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator id="https://orcid.org/0009-0004-3171-3705">Ahmed, Tanvir</dc:creator>
    <dc:title>DrugRev: A comprehensive customers reviews on drugs purchasing and satisfaction</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>DrugRev is a comprehensive dataset created to provide updated information regarding a user&apos;s views of a particular drug. The data has been collected from drugs.com and stored in a single CSV file. The raw data has been cleaned thoroughly to provide a ready-to-use dataset that can be used for multiple purposes such as Natural Language Processing, Sentiment Analysis, Data Science, Data Analytics, Numerical Analysis, Health Informatics, etc. The dataset can be found as ‘DrugReviews.csv’ in the repository, and it contains 392510 unique reviews along with the name of the drug, user rating, the credibility of the review in the form of likes, length of the reviews, the condition for which the drug was taken and how long the drug was taken for. Null values which may have been the result of some issues with the old structure of the website have also been handled carefully. Also, the sheer number of data columns gives the dataset more versatility to be used in a variety of research fields.</dc:description>
    <dc:subject>Medicine</dc:subject>
    <dc:subject>Numerical Analysis</dc:subject>
    <dc:subject>Health Informatics</dc:subject>
    <dc:subject>Data Science</dc:subject>
    <dc:subject>Natural Language Processing</dc:subject>
    <dc:subject>Data Analysis</dc:subject>
    <dc:subject>Medical Record</dc:subject>
    <dc:subject>Analysis of Large Data Set</dc:subject>
    <dc:subject>Healthcare Consumer</dc:subject>
    <dc:subject>Data Analytics</dc:subject>
    <dc:subject>Sentiment Analysis</dc:subject>
    <dc:contributor id="https://orcid.org/0000-0003-0856-4225">Mia, Md Mohsin</dc:contributor>
    <dc:contributor id="https://orcid.org/0009-0004-9839-6716">Mazrur, Md Bakhtiar</dc:contributor>
    <dc:contributor id="https://orcid.org/0009-0000-4381-0466">Rana, Md Sajib</dc:contributor>
    <dc:contributor id="https://orcid.org/0009-0008-9235-2690">Ekfa, Romana Idress</dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0001-6115-2364">Rahman, Wahidur</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/64cc5w5dxy.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/64cc5w5dxy.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/64cc5w5dxy</dc:relation>
    <dc:date>2023-08-13T06:21:46Z</dc:date>
    <dc:date>2023-08-15T23:59:59Z</dc:date>
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