Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 270 for “"Roberta"”.
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The Steeple of Light : from Frank Lloyd Wright's architectural proposal to Dale Eldred and Roberta Lord's light sculpture
… agent in the completion of the project was also Roberta Lord, Eldred’s wife and collaborator on many projects. This collaborative effort between Eldred and Lord did much more than fulfill Wright’s vision. I argue that although the name remained same, through Eldred and Lord’s artistic and …
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Modelos de aprendizaje profundo y procesamiento de lenguaje natural para el análisis de tópicos y emociones en YouTube sobre el conflicto palestino-israelí
… lenguaje basados en arquitecturas Transformer (RoBERTa, ELECTRA, DeBERTa y XLNet) para la clasificación de emociones personalizadas contextualizadas al conflicto. Los resultados revelan diferencias discursivas significativas entre fuentes informativas, así como la eficacia de modelos modernos …
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Pastureland
Roberta Hickson is struggling to keep her deteriorating ranch alive but the landscape around her is in even bigger trouble. When she agrees to house three ex convicts on her property she is faced with a past she's been avoiding and the dangers of the surrounding areas approaching nearer.
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Pastureland
Roberta Hickson is struggling to keep her deteriorating ranch alive but the landscape around her is in even bigger trouble. When she agrees to house three ex convicts on her property she is faced with a past she's been avoiding and the dangers of the surrounding areas approaching nearer.
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Neural Document Segmentation Using Weighted Sliding Windows with Transformer Encoders
… models surpass existing works based on BERT, RoBERTa, or LongFormer Transformers. Notably, our RoBERTa baseline often matches LongFormer’s performance while being significantly more efficient in training and inference. We validate our model’s robustness on domain-specific segmentation …
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Sentiment analysis using unsupervised learning for local government elections in South Africa
… campaign. The study uses a pre-trained twitter-roberta-base-sentiment-latest model from Hugging Face and unsupervised lexicon based pre-trained approaches, namely: VADER and TextBlob to determine the polarity sentiment in order to gain insight that could be applied towards informing political …
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Mezinárodní intervence - příčina sebevražedného terorismu?
… intervence testuje práce nacionalistickou teorii Roberta Papea. Výzkumný vzorek tvořený z případů Afghánistánu, Iráku, Pákistánu a Palestiny byl vybrán na základě databáze Suicide Terrorism Attack. K potvrzení anebo vyvrácení platnosti výzkumných hypotéz je v práci aplikována empiricko-analytická …
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BERT-Based Intrusion Detection System for RF Jamming Attacks in Vehicular Network
… four pre-trained transformer architectures—BERT, RoBERTa, DistilBERT, and ALBERT—fine-tuned for the multi-class classification of interference, smart jamming, and constant jamming attacks under varying vehicular speeds (25 m/s and 15 m/s). These models are systematically compared against …
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Nobody Inside: Toni Morrison's "Recitatif": An Analysis on Whole/Incomplete Bodies, "The Maggie Thing"and Sick and Dancing Mothers
… the ways in which the characters of Twyla and Roberta remain fixated on the question of Maggie, a disabled character, and their mothers. Drawing on the work of disability studies specialist Lennard J. Davis, this thesis explores how the binary “normal/abnormal” functions in the story and shapes …
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Pandemic perceptions: analyzing sentiment in COVID-19 tweets
… analysis. By leveraging domain-specific models RoBERTa[Twitter] fine-tuned on social media data, this research improved performance in critical task of sentiment analysis. Investigation demonstrates individuals express subjective feelings more frequently compared to organizations. Organizations, …
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De-identification of free-text clinical notes
… processing tasks. Examples include BERT and RoBERTa. In this work, we evaluated de-identification using different choices of bidirectional transformer models and classifiers. Further, we developed a hybrid system that incorporates rule-based features into the bidirectional transformer model. …
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Automatic Summarization of Financial Reports
… an attention-based language model, namely RoBERTa to build a financially-oriented language model. This model is combined with various non-parametric methods to generate sentence vectors which can facilitate the efficient selection of important sentences in the document as part of the …
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Ανάλυση Συναισθήματος Φιλάθλων με Έμφαση στην Οπαδική Βία
… αξιολόγηση μοντέλων όπως το GreekBERT και το XLM-RoBERTa, ως προς την ικανότητά τους να διαχειρίζονται τις ιδιαιτερότητες της ελληνικής οπαδικής διαλέκτου (greeklish, αργκό, ειρωνεία). Τα αποτελέσματα έδειξαν ότι το αρνητικό συναίσθημα κυριαρχεί στον διαδικτυακό αθλητικό διάλογο, με το μοντέλο …
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The Life of the Nuns at West Malling Abbey: Social and Religious Dynamics from the Middle Medieval Period to the Reformation
… of Janet Burton, Sally Thompson, Eileen Power, Roberta Gilchrist and Maralyn Oliva which give a more general understanding of the life of a nun. This thesis aims to collate the existing works and original manuscripts to construct a chronological picture of 450 years of abbey life. Research has …
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DLRNA-BERTa: A transformer approach for RNA-drug interaction prediction
… drug discovery. In this thesis, we propose a RoBERTa-based model (DLRNA-BERTa), a dual language model architecture designed to predict the interactions between small molecules and RNA targets using only textual information across six distinct RNA classes: aptamers, repeats, ribosomal RNAs, …
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Data-driven Materials Informatics for Optoelectronics: From Natural Language Processing to Predictive Modelling of TADF Molecules
… language models, OE- ALBERT, OE-BERT, and OE-RoBERTa, are produced using this approach. They are also fine-tuned to perform tasks of text-classification, question-answering, and text embedding. Chapter 5 details an end-to-end workflow that produces a data-driven predictor for the PL …
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Social media analytics with applications in disaster management and COVID-19 events
… This work also presents a custom Q&A-based RoBERTa model for extracting related phrases for emotions. Finally, with the aim of polarization detection, this research work proposes a deep learning pipeline for political ideology detection leveraging the tweet texts and the expressed emotions …
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