Ontology-based Sentiment Analysis of Twitter Posts

see the original item page
in the repository's web site and access all digital files if the item*



Ontology-based Sentiment Analysis of Twitter Posts

Bassiliades, Nick
Kontopoulos, E.
Berberidis, C.
Dergiades, T.

Article / Άρθρο
info:eu-repo/semantics/article

2014-03-06T09:59:27Z
2013


Computer and Information Science

Micro-blogging
Ontology
Tweet
Twitter
Sentiment Analysis

English

Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Σχολή Θετικών Επιστημών, Τμήμα Πληροφορικής


Expert Systems with Applications, vol.40 [2013] p.4065-4074
urn:ISSN:0957-4174

This record is part of 'IKEE', the Institutional Repository of Aristotle University of Thessaloniki's Library and Information Centre found at http://ikee.lib.auth.gr. Unless otherwise stated above, the record metadata were created by and belong to Aristotle University of Thessaloniki Library, Greece and are made available to the public under Creative Commons Attribution-ShareAlike 4.0 International license (http://creativecommons.org/licenses/by-sa/4.0). Unless otherwise stated in the record, the content and copyright of files and fulltext documents belong to their respective authors. Out-of-copyright content that was digitized, converted, processed, modified, etc by AUTh Library, is made available to the public under Creative Commons Attribution-ShareAlike 4.0 International license (http://creativecommons.org/licenses/by-sa/4.0). You are kindly requested to make a reference to AUTh Library and the URL of the record containing the resource whenever you make use of this material.
info:eu-repo/semantics/openAccess




*Institutions are responsible for keeping their URLs functional (digital file, item page in repository site)