1 |
Gegen die Öffentlichkeit: Alternative Nachrichtenmedien im deutschsprachigen Raum
|
|
Schwaiger, Lisa. - : transcript Verlag, 2022. : DEU, 2022. : Bielefeld, 2022
|
|
In: 46 ; Digitale Gesellschaft ; 327 (2022)
|
|
BASE
|
|
Show details
|
|
2 |
Social Media and Intercultural Learning: An approach to EFL for Secondary Students
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Η επίδραση των κοινωνικών μέσων δικτύωσης στον σχεδιασμό ενός ταξιδιού: Ταξιδιωτική πρόθεση και αντίληψη κινδύνου κατά τη διάρκεια της πανδημίας
|
|
|
|
BASE
|
|
Show details
|
|
7 |
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
|
|
8 |
Leading the Nation Through Social Media: Jacinda Ardern’s Self-Presentation on Facebook During the COVID-19 Crisis
|
|
Huang, Lei. - : Auckland University of Technology, 2021
|
|
BASE
|
|
Show details
|
|
9 |
The Rhetoric of Psychopathology: An Interdisciplinary Approach to Understanding and Talking About Mental Health
|
|
|
|
BASE
|
|
Show details
|
|
10 |
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
|
|
11 |
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
|
|
12 |
Hate Speech on Social Media ; Discours de haine dans les réseaux socionumériques
|
|
|
|
In: ISSN: 0243-6450 ; EISSN: 1960-6001 ; Mots: les langages du politique ; https://hal.archives-ouvertes.fr/hal-03137170 ; Mots: les langages du politique, 125, E.N.S. Editions, 2021, 9791036203060 (2021)
|
|
BASE
|
|
Show details
|
|
13 |
Impact of social media data on postmarket safety evaluation of medicines: a literature review on automatic mining initiatives of adverse drug reactions
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Customer Engagement with Food Companies' Tweets: An Investigation of Food Claims and Innovation ...
|
|
Zhao, Caiyi. - : Université d'Ottawa / University of Ottawa, 2021
|
|
BASE
|
|
Show details
|
|
18 |
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
|
|
19 |
Generating health evidence from social media ; Extração de informação de saúde através das redes sociais
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Protest twittern: Eine medienlinguistische Untersuchung von Straßenprotesten
|
|
Dang-Anh, Mark. - : transcript Verlag, 2021. : DEU, 2021. : Bielefeld, 2021
|
|
In: 22 ; Locating Media / Situierte Medien ; 448 (2021)
|
|
BASE
|
|
Show details
|
|
|
|