Sökning: "RoBERTa"
Visar resultat 1 - 5 av 55 uppsatser innehållade ordet RoBERTa.
1. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. LÄS MER
2. Initial Development and Validation of Language-Based Assessments for Meaningful Change
Kandidat-uppsats, Lunds universitet/Institutionen för psykologiSammanfattning : Meaningful change has been discussed in multiple studies, with the recurring question of how it could be conceptualized and assessed to identify what determines meaningful change and where it occurs. Previous studies have conducted statistical analyses based on traditional rating scales (i.e., the PHQ-9) to assess meaningful change. LÄS MER
3. Salt och Peppar : En läsning av Toni Morrisons novell Recitatif utifrån det teoretiska perspektivet dekonstruktion
Kandidat-uppsats, Umeå universitet/Institutionen för kultur- och medievetenskaperSammanfattning : In this paper I’m studying Toni Morrison’s short story Recitatif (2022) through the perspective of deconstruction. I theorise about conceptual meanings and differences that occur and can be found in structures. LÄS MER
4. Människors privatliv eller samhällets säkerhet - vad är viktigast? : En idéanalys om liberalismens syn på hemliga tvångsmedel
Kandidat-uppsats, Linnéuniversitetet/Institutionen för statsvetenskap (ST)Sammanfattning : This essay aims to find out how the five values of liberalism view the law on secret room wiretapping and the law on secret wiretapping of electronic communications. The method used to achieve the purpose of the study is an idea analysis in descriptive and explanatory form. LÄS MER
5. Efficient Sentiment Analysis and Topic Modeling in NLP using Knowledge Distillation and Transfer Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This abstract presents a study in which knowledge distillation techniques were applied to a Large Language Model (LLM) to create smaller, more efficient models without sacrificing performance. Three configurations of the RoBERTa model were selected as ”student” models to gain knowledge from a pre-trained ”teacher” model. LÄS MER