Improving multilingual sentiment analysis using linguistic knowledge

Di Bari, Marilena (2015) Improving multilingual sentiment analysis using linguistic knowledge. PhD thesis, University of Leeds.



Related URLs:
Keywords: Systemic Functional Linguistics, Appraisal Framework, Sentiment Analysis, Translation Studies, Corpus Linguistics, annotation, SentiML annotation scheme, SentiML corpus, multilingual study, Russian, Italian
Awarding institution: University of Leeds
Academic Units: The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Languages Cultures and Societies (Leeds)
Identification Number/EthosID (e.g.
Depositing User: Mrs Marilena Di Bari
Date Deposited: 23 Mar 2016 13:06
Last Modified: 15 Oct 2018 13:21


Final eThesis - complete (pdf)

Filename: thesis_final.pdf

Licence: Creative Commons Attribution Non-commercial (UK)

Share / Export

You do not need to contact us to get a copy of this thesis. Please use the 'Download' link(s) above to get a copy.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.