1 |
Emotionally Informed Hate Speech Detection: A Multi-target Perspective
|
|
|
|
In: ISSN: 1866-9956 ; EISSN: 1866-9964 ; Cognitive Computation ; https://hal.archives-ouvertes.fr/hal-03275549 ; Cognitive Computation, Springer, 2021, 13 (4), ⟨10.1007/s12559-021-09862-5⟩ ; https://link.springer.com/article/10.1007%2Fs12559-021-09862-5 (2021)
|
|
BASE
|
|
Show details
|
|
2 |
Emotionally Informed Hate Speech Detection: A Multi-target Perspective
|
|
|
|
In: Cognit Comput (2021)
|
|
BASE
|
|
Show details
|
|
3 |
Sentiment Analysis of Latin Poetry: First Experiments on the Odes of Horace
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Linking the Lewis & Short Dictionary to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Proceedings of the Eighth Italian Conference on Computational Linguistics (CLiC-it 2021). Milan, Italy, January 26-28, 2022
|
|
|
|
BASE
|
|
Show details
|
|
7 |
The Annotation of Liber Abbaci, a Domain-Specific Latin Resource
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Categorizing Misogynistic Behaviours in Italian, English and Spanish Tweets ; Categorización de comportamientos misóginos en tweets en italiano, inglés y español
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Emotionally Informed Hate Speech Detection: A Multi-target Perspective
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality ...
|
|
|
|
Abstract:
As a contribution to personality detection in languages other than English, we rely on distant supervision to create Personal-ITY, a novel corpus of YouTube comments in Italian, where authors are labelled with personality traits. The traits are derived from one of the mainstream personality theories in psychology research, named MBTI. Using personality prediction experiments, we (i) study the task of personality prediction in itself on our corpus as well as on TWISTY, a Twitter dataset also annotated with MBTI labels; (ii) carry out an extensive, in-depth analysis of the features used by the classifier, and view them specifically under the light of the original theory that we used to create the corpus in the first place. We observe that no single model is best at personality detection, and that while some traits are easier than others to detect, and also to match back to theory, for other, less frequent traits the picture is much more blurred. ...
|
|
Keyword:
Computer and Information Science; Digital Media; Engineering; Information and Knowledge Engineering; Natural Language Processing; Neural Network
|
|
URL: https://dx.doi.org/10.48448/bx22-vw48 https://underline.io/lecture/6572-matching-theory-and-data-with-personal-ity-what-a-corpus-of-italian-youtube-comments-reveals-about-personality
|
|
BASE
|
|
Hide details
|
|
13 |
Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection
|
|
|
|
In: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing; Vol 8 No 1 (2020): Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing; 151-154 (2020)
|
|
BASE
|
|
Show details
|
|
14 |
Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection
|
|
|
|
In: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing; Vol. 8 No. 1 (2020): Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing; 151-154 (2020)
|
|
BASE
|
|
Show details
|
|
15 |
HurtBERT: Incorporating Lexical Features with BERT for the Detection of Abusive Language
|
|
|
|
BASE
|
|
Show details
|
|
16 |
EVALITA4ELG: Italian Benchmark Linguistic Resources, NLP Services and Tools for the ELG Platform
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Do Linguistic Features Help Deep Learning? The Case of Aggressiveness in Mexican Tweets
|
|
|
|
BASE
|
|
Show details
|
|
18 |
“Contro L’Odio”: A Platform for Detecting, Monitoring and Visualizing Hate Speech against Immigrants in Italian Social Media
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Do Linguistic Features Help Deep Learning? The Case of Aggressiveness in Mexican Tweets
|
|
|
|
BASE
|
|
Show details
|
|
20 |
#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection
|
|
|
|
BASE
|
|
Show details
|
|
|
|