dr. Cynthia Van Hee
- ORCID iD
- 0000-0001-7365-6703
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- Journal Article
- A1
- open access
The limitations of irony detection in Dutch social media
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- Conference Paper
- C1
- open access
A fine line between irony and sincerity : identifying bias in transformer models for irony detection
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- Miscellaneous
- open access
Annotation guidelines for labeling aspect-based sentiment analysis en aspect-based emotion analysis in the SentEMO project : version 1.0
(2023) In LT3 Technical Report -
- Journal Article
- A1
- open access
Using natural language processing to automatically classify written self-reported narratives by patients with migraine or cluster headache
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- Conference Paper
- P1
- open access
Irony detection for Dutch : a venture into the implicit
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- Conference Paper
- P1
- open access
SentEMO : a multilingual adaptive platform for aspect-based sentiment and emotion analysis
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Automatic classification of participant roles in cyberbullying : can we detect victims, bullies, and bystanders in social media text?
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- Journal Article
- A2
- open access
Aspect-based sentiment analysis for German : analyzing 'talk of literature' surrounding literary prizes on social media
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- Book
- open access
Chatbot : leerkrachtenhandleiding
(2021) -
- Miscellaneous
- open access
Guidelines for annotating implicit sentiment evoked by fine-grained news events
(2021) -
Aspect-based sentiment analysis for German : analyzing 'talk of literature' surrounding literary prizes on social media
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- Conference Paper
- C1
- open access
Exploring implicit sentiment evoked by fine-grained news events
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- Journal Article
- A1
- open access
Current limitations in cyberbullying detection : on evaluation criteria, reproducibility, and data scarcity
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- Book Chapter
- open access
News diversity and recommendation systems : setting the interdisciplinary scene
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- Journal Article
- A1
- open access
Automatic detection of cyberbullying in social media text
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- Journal Article
- A1
- open access
We usually don't like going to the dentist : using common sense to detect irony on Twitter
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SemEval-2018 task 3 : irony detection in English tweets
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Exploring the fine-grained analysis and automatic detection of irony on Twitter
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- Journal Article
- A2
- open access
Noise or music? Investigating the usefulness of normalisation for robust sentiment analysis on social media data
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Cyberbullying Detection in Social Media
(2017) -
- PhD Thesis
- open access
Can machines sense irony? : exploring automatic irony detection on social media
(2017) -
Monday mornings are my fave :) #not exploring the automatic recognition of irony in English tweets
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Analysing emotions in social media coverage on Paris terror attacks : a pilot study
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- Conference Paper
- C1
- open access
Towards a framework for the automatic detection of crisis emotions on social media : a corpus analysis of the tweets posted after the crash of Germanwings flight 9525
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Exploring the realization of irony in Twitter data
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- Miscellaneous
- open access
Guidelines for Annotating Irony in Social Media Text, version 2.0
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Proof-of-concept experiments for the fine-grained classification of cyberbullying events
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Guidelines for the fine-grained analysis of cyberbullying, version 1.0
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- Conference Paper
- C1
- open access
Automatic detection and prevention of cyberbullying
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- Conference Paper
- C1
- open access
Detection and fine-grained classification of cyberbullying events
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- Conference Paper
- C1
- open access
LT3: sentiment analysis of figurative tweets: piece of cake #NotReally
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Natural language processing for internet security: the AMiCA project
(2014) -
Data set construction and exploratory experiments for cyberbullying detection
(2014) -
- Conference Paper
- C1
- open access
LT3: sentiment classification in user-generated content using a rich feature set
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Taaltechnologie 2.0: sentimentanalyse en normalisatie