| 1 |
Η επίδραση των κοινωνικών μέσων δικτύωσης στον σχεδιασμό ενός ταξιδιού: Ταξιδιωτική πρόθεση και αντίληψη κινδύνου κατά τη διάρκεια της πανδημίας
|
|
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Language modeling for personality prediction
|
|
|
|
Abstract:
This dissertation can be divided into two large questions. The first is a supervised learning problem: given text from an individual, how much can be said about their personality? The second is more fundamental: what personality structure is embedded in modern language models? To address the first question, three language models are used to predict many traits from Facebook Statuses. Traits include: gender, religion, politics, Big5 personality, sensational interests, impulsiveness, IQ, fair-mindedness, and self-disclosure. Linguistic Inquiry Word Count (Pennebaker et al., 2015), the dominant model used in psychology, explains close to zero variance on many labels. Bag of Words performs well and the model weights provide valuable insight about why predictions are made. Neural Nets perform the best by a wide margin on personality traits especially when few training samples are available. A pretrained personality model is made available online that can explain 10% of the variance of a trait with as little as 400 samples, within the range of normal psychology studies. This is a good replacement for Linguistic Inquiry Word Count in predictive settings. In psychology, personality structure is defined by dimensionality reduction of word vectors (Goldberg, 1993). To address the second question, factor analysis is performed on embeddings of personality words produced by the language model RoBERTa (Liu et al., 2019). This recovers two factors that look like Digman’s α and β (Digman, 1997) and not the more popular Big Five. The structure is shown to be robust to choice of context around an embedded word, language model, factorization method, word set and English vs Spanish. This is a flexible tool for exploring personality structure that can easily be applied to other languages.
|
|
Keyword:
Computer engineering; Lexical hypothesis; Machine learning; Natural language processing; Personality; Social media
|
|
URL: https://hdl.handle.net/2144/41942
|
|
BASE
|
|
Hide details
|
|
|
| 5 |
The Rhetoric of Psychopathology: An Interdisciplinary Approach to Understanding and Talking About Mental Health
|
|
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Influencer detection in social media ; Détection des influenceurs dans des médias sociaux
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-03640442 ; Ordinateur et société [cs.CY]. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0034⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Hate speech and offensive language detection using transfer learning approaches ; Détection du discours de haine et du langage offensant utilisant des approches de Transfer Learning
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-03276023 ; Document and Text Processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAS007⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Influencer detection in social media ; Détection des influenceurs dans des médias sociaux
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-03640442 ; Ordinateur et société [cs.CY]. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0034⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Generating health evidence from social media ; Extração de informação de saúde através das redes sociais
|
|
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Studying depression through big data analytics on Twitter
|
|
|
|
In: TDX (Tesis Doctorals en Xarxa) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Civility in digital discourse : an experimental approach to the contagion of thoughtful and hurtful responses
|
|
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Espraiamento do conservadorismo no Brasil das mídias sociais ; Spread of conservatism in Brazil on social networks
|
|
Paiva, Síria Maria Andrade. - : Universidade Federal do Rio Grande do Norte, 2021. : Brasil, 2021. : UFRN, 2021. : Serviço Social, 2021. : Departamento de Serviço Social, 2021
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Content Selection for Effective Counter-Argument Generation
|
|
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Clickbait detection using multimodel fusion and transfer learning ; Détection de clickbait utilisant fusion multimodale et apprentissage par transfert
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-03139880 ; Social and Information Networks [cs.SI]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAS025⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
An old tradition in a new space : a critical discourse analysis of YouTubers' metalinguistic commentary on Quebec French
|
|
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Towards Subjective Multimedia Summarization Framework for Sporting Event in the Context of Digital Twins
|
|
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Detection and analysis of drug non-adherence in social media ; Détection et analyse de la non-adhérence médicamenteuse dans les réseaux sociaux
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-02478927 ; Linguistique. Université de Lille, 2019. Français. ⟨NNT : 2019LILUH026⟩ (2019)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Neologia de empresa: o Facebook como observatório de novas tendências em neologia
|
|
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Language, queerly phrased: a sociolinguistic examination of nonbinary gender identity in French
|
|
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Computational linguistics using social media to understand immigrant sentiment in the United States
|
|
Bain, James. - : University of Missouri--Columbia, 2019
|
|
BASE
|
|
Show details
|
|
|
|
|
