dc.contributor.author | Coughlan, Emer | |
dc.contributor.author | Scott, David | |
dc.contributor.author | Daly, Mark | |
dc.date.accessioned | 2020-09-23T11:00:28Z | |
dc.date.available | 2020-09-23T11:00:28Z | |
dc.date.copyright | 2020 | |
dc.date.issued | 2020-06 | |
dc.identifier.citation | Coughlan, E., Scott, D., Daly, M. (2020). A comparative analysis of sentiment analysis tools for data mining systems. Presented at AIT Poster Presentation Seminar June 2020 | en_US |
dc.identifier.other | Other - Faculty of Engineering & Informatics AIT | en_US |
dc.identifier.uri | http://research.thea.ie/handle/20.500.12065/3422 | |
dc.description.abstract | Over
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 learning | en_US |
dc.format | PDF | en_US |
dc.language.iso | en | en_US |
dc.publisher | Athlone Institute of Technology | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | * |
dc.subject | Sentiment analysis | en_US |
dc.subject | Natural language processing | en_US |
dc.subject | Social media | en_US |
dc.subject | Classification | en_US |
dc.subject | Big data | en_US |
dc.title | A comparative analysis of sentiment analysis tools for data mining systems | en_US |
dc.type | Other | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-7087-6284 | |
dc.rights.access | Open Access | en_US |
dc.subject.department | Faculty of Engineering & Informatics AIT | en_US |