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dc.contributor.authorCoughlan, Emer
dc.contributor.authorScott, David
dc.contributor.authorDaly, Mark
dc.identifier.citationCoughlan, E., Scott, D., Daly, M. (2020). A comparative analysis of sentiment analysis tools for data mining systems. Presented at AIT Poster Presentation Seminar June 2020en_US
dc.identifier.otherOther - Faculty of Engineering & Informatics AITen_US
dc.description.abstractOver the past few years the rise in big data is something that has gained a lot of traction and attention, the sheer volume of data produced by humans is increasing rapidly each year The growth in social media over the past few years has changed how we interact and how we connect globally, as such there is a rising need to ascertain user sentiment Sentiment Analysis ( also known as Opinion Mining ( is a means of understanding the emotion, opinion or sentiment of a piece of text and is an ongoing field of research Natural Language Processing ( is used to assign or identify meaning to written or spoken language or use in further analysis with machine learningen_US
dc.publisherAthlone Institute of Technologyen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland*
dc.subjectSentiment analysisen_US
dc.subjectNatural language processingen_US
dc.subjectSocial mediaen_US
dc.subjectBig dataen_US
dc.titleA comparative analysis of sentiment analysis tools for data mining systemsen_US
dc.rights.accessOpen Accessen_US
dc.subject.departmentFaculty of Engineering & Informatics AITen_US

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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland