Dataset Open Access

Past Written Texts Dataset

John Ellul; Marina Polycarpou

MARC21 XML Export

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    <subfield code="a">social media sensing</subfield>
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    <subfield code="a">sentiment analysis</subfield>
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    <subfield code="a">text-based sentiment analysis</subfield>
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    <subfield code="u">Materia Group Cyprus</subfield>
    <subfield code="a">Marina Polycarpou</subfield>
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    <subfield code="u">Univerity of Patras</subfield>
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    <subfield code="a">Evangelia I. Zacharaki</subfield>
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    <subfield code="u"> Media Sensing Texts.csv</subfield>
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    <subfield code="a">Past Written Texts Dataset</subfield>
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    <subfield code="c">690140</subfield>
    <subfield code="a">Sensing and predictive treatment of frailty and associated co-morbidities using advanced personalized patient models and advanced interventions</subfield>
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    <subfield code="a">&lt;p&gt;The dataset consists of features extracted from older adults&amp;rsquo; text.&lt;/p&gt;

&lt;p&gt;The texts were written by the older person either in an electronic mean (eg. older e-mail), or in paper form and were transcribed by the project&amp;#39;s clinical nurses.&lt;/p&gt;

&lt;p&gt;The texts were then translated to English using the MyMemory service (, and a series of features were generated that can be used for sentiment analysis.&lt;/p&gt;

&lt;p&gt;The list of fields of this dataset is presented below:&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Part_id&lt;/strong&gt;: The user ID, which should be a 4-digit number&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Date&lt;/strong&gt;: The recording date, which follows the &amp;ldquo;DD-MM-YY&amp;rdquo; format (eg. 14 September 2017, is formatted as 14-09-17)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Clinical_visit&lt;/strong&gt;: As several clinical evaluations were performed to each older adult, this number shows for which clinical evaluation these measurements refer to&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Transcript&lt;/strong&gt;: If the text was written by the older adult (0) or was transcribed by a nurse (1)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Language&lt;/strong&gt;: The original language of the text (0 = Greek)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Text_length, Number_of_sentences, Number_of_words, Number_of_words_per_sentence, Text_entropy&lt;/strong&gt;: Statistical Measures&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Desc_image_ENG_sentiment, Desc_event_sentiment, Prev_text_ENG_sentiment&lt;/strong&gt;: Sentiment Analysis&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Tf-XX&lt;/strong&gt;: Term frequency &amp;ndash; Inverse document frequency&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Tf-pos-XX&lt;/strong&gt;: Part of Speech analysis, using tf-idf methodology&lt;/p&gt;</subfield>
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