This work proposes a new social media based model to measure how users perceive new products from a technical point of view. This model relies on the analysis of advantages and drawbacks of products, which are both important aspects evaluated by consumers during the buying decision process. This model is based on a lexicon developed in a related work (Chiarello et. al, 2017) to analyse patents and detect advantages and drawbacks connected to a certain technology.

In recent years, social media have become ubiquitous and important for social networking and content sharing. Moreover, the content generated by these websites remains largely untapped. Some researchers proved that social media have been a valuable source to predict the future outcomes of some events such as box-office movie revenues or political elections. Social media are also used by companies to measure the sentiment of customers about their brand and products.

Technical Sentiment Analysis: Measuring Advantages and Drawbacks of New Products Using Social Media

Cimino Andrea;Dell'Orletta Felice
2018

Abstract

In recent years, social media have become ubiquitous and important for social networking and content sharing. Moreover, the content generated by these websites remains largely untapped. Some researchers proved that social media have been a valuable source to predict the future outcomes of some events such as box-office movie revenues or political elections. Social media are also used by companies to measure the sentiment of customers about their brand and products.
Campo DC Valore Lingua
dc.authority.people Chiarello Filippo it
dc.authority.people Bonaccorsi Andrea it
dc.authority.people Fantoni Gualtiero it
dc.authority.people Ossola Giacomo it
dc.authority.people Cimino Andrea it
dc.authority.people Dell'Orletta Felice it
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/20 17:20:19 -
dc.date.available 2024/02/20 17:20:19 -
dc.date.issued 2018 -
dc.description.abstract This work proposes a new social media based model to measure how users perceive new products from a technical point of view. This model relies on the analysis of advantages and drawbacks of products, which are both important aspects evaluated by consumers during the buying decision process. This model is based on a lexicon developed in a related work (Chiarello et. al, 2017) to analyse patents and detect advantages and drawbacks connected to a certain technology. -
dc.description.abstracteng In recent years, social media have become ubiquitous and important for social networking and content sharing. Moreover, the content generated by these websites remains largely untapped. Some researchers proved that social media have been a valuable source to predict the future outcomes of some events such as box-office movie revenues or political elections. Social media are also used by companies to measure the sentiment of customers about their brand and products. -
dc.description.affiliations Università di Pisa; Istituto di Linguistica Computazionale "A. Zampolli", CNR, Pisa, Italy -
dc.description.allpeople Chiarello, Filippo; Bonaccorsi, Andrea; Fantoni, Gualtiero; Ossola, Giacomo; Cimino, Andrea; Dell'Orletta, Felice -
dc.description.allpeopleoriginal Chiarello, Filippo; Bonaccorsi, Andrea; Fantoni, Gualtiero; Ossola, Giacomo; Cimino, Andrea; Dell'Orletta, Felice -
dc.description.fulltext none en
dc.description.numberofauthors 6 -
dc.identifier.doi 10.4995/CARMA2018.2018.8336 -
dc.identifier.isbn 978-84-9048-689-4 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/392588 -
dc.language.iso eng -
dc.relation.conferencedate 12-13/07/2018 -
dc.relation.conferencename 2nd International Conference on Advanced Research Methods and Analytics (CARMA2018) -
dc.relation.conferenceplace Valenzia (Spagna) -
dc.relation.firstpage 145 -
dc.relation.lastpage 156 -
dc.relation.numberofpages 12 -
dc.subject.keywords Social media -
dc.subject.keywords Twitter -
dc.subject.keywords Sentiment analysis -
dc.subject.keywords Product Success -
dc.subject.singlekeyword Social media *
dc.subject.singlekeyword Twitter *
dc.subject.singlekeyword Sentiment analysis *
dc.subject.singlekeyword Product Success *
dc.title Technical Sentiment Analysis: Measuring Advantages and Drawbacks of New Products Using Social Media en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 434919 -
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Appare nelle tipologie: 04.01 Contributo in Atti di convegno
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