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        <identifier><![CDATA[oai:it.cnr:prodotti:oai:it.cnr:prodotti:456166]]></identifier>
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          <dc:type><![CDATA[info:eu-repo/semantics/conferenceObject]]></dc:type>
          <dc:type><![CDATA[Contributo in atti di convegno]]></dc:type>
          <dc:title><![CDATA[A linguistic and psychoacoustic study for  questionnaire analysis: first results]]></dc:title>
          <dc:creator><![CDATA[Ferretti Melissa]]></dc:creator>
          <dc:creator><![CDATA[Chiarella Davide]]></dc:creator>
          <dc:creator><![CDATA[Cutugno Paola]]></dc:creator>
          <dc:creator><![CDATA[Marconi Lucia]]></dc:creator>
          <dc:creator><![CDATA[Di Feo Gelsomina]]></dc:creator>
          <dc:creator><![CDATA[Cerniglia Andrea]]></dc:creator>
          <dc:creator><![CDATA[Magrini Anna]]></dc:creator>
          <dc:language><![CDATA[eng]]></dc:language>
          <dc:description><![CDATA[This  research  is  inspired  by  the  consideration  that  language  represents  a  significant  dimension  of perception  and  description  of  the  soundscape. 
A  language  is  a  strategic  tool  that  can  consistently describe the qualities of physical acoustic environments, introducing an efficient metric to describe the sound perception by people. In this paper, we explore the possibility of using sentiment analysis for extracting the emotional impact of noise from lists of adjectives that describe sounds.
To address this, an investigation campaign was conducted to identify the Italian adjectives that best describe the noise  sources  associated  with  port  and  retro-port infrastructures.  402  Italian  university  students responded  to  a  listening  experiment.  They  were  asked  to  associate  adjectives  with  audios.  The association  of  these  adjectives  with  the  sources  of  sound  formed  the  basis  for  sentiment  analysis. 
Psychoacoustic  parameters were  calculated following measurements  and processed  for each  of the sounds administered to look for possible correlations between the different perceptual aspects. The first results show how industrial or traffic sounds are as expected associated with negative sentiment whereas natural sounds evoke positive emotions. The proposed sentiment analysis, in connection with the  psychoacoustic  investigations  developed,  provides  a  framework  for  future  research  in  the investigation of sound perception.]]></dc:description>
          <dc:source><![CDATA[27th International Congress on Sound and Vibration, Praga, 11-16/07/2021]]></dc:source>
          <dc:source><![CDATA[info:cnr-pdr/source/autori:Ferretti Melissa, Chiarella Davide, Cutugno Paola, Marconi Lucia, Di Feo Gelsomina, Cerniglia Andrea, Magrini Anna/congresso_nome:27th International Congress on Sound and Vibration/congresso_luogo:Praga/congresso_data:11-16%2F07%2F2021/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:]]></dc:source>
          <dc:date><![CDATA[2021]]></dc:date>
          <dc:identifier><![CDATA[http://www.cnr.it/prodotto/i/456166]]></dc:identifier>
          <dc:identifier><![CDATA[https://publications.cnr.it/doc/456166]]></dc:identifier>
          <dc:identifier><![CDATA[urn:isbn:978-83-7880-799-5]]></dc:identifier>
          <dc:relation><![CDATA[info:cnr-pdr/author/idpersonaleesterno:29363/FERRETTI/MELISSA]]></dc:relation>
          <dc:relation><![CDATA[info:cnr-pdr/author/matricola:13632/MARCONI/LUCIA]]></dc:relation>
          <dc:relation><![CDATA[info:cnr-pdr/author/matricola:15601/CHIARELLA/DAVIDE]]></dc:relation>
          <dc:relation><![CDATA[info:cnr-pdr/author/matricola:29351/CUTUGNO/PAOLA]]></dc:relation>
          <dc:rights><![CDATA[info:eu-repo/semantics/restrictedAccess]]></dc:rights>
          <dc:subject><![CDATA[Sound perception]]></dc:subject>
          <dc:subject><![CDATA[Sentiment Analysis]]></dc:subject>
          <dc:subject><![CDATA[Psychoacoustics]]></dc:subject>
          <dc:subject><![CDATA[Acoustics]]></dc:subject>
          <dc:subject><![CDATA[Synesthesia]]></dc:subject>
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