IS THE METAVERSEFAILING? ANALYSINGSENTIMENTS TOWARDSTHEMETAVERSE
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Date
2024
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Publisher
The University of Manchester
Abstract
This dissertation investigates Aspect-Based Sentiment Analysis (ABSA) within the
context of the Metaverse to better understand opinions on this emerging digital environment, particularly from a news perspective. The Metaverse, a virtual space where
users can engage in various experiences, has attracted both positive and negative opinions, making it crucial to explore these sentiments to gain insights into public perspectives. A novel dataset of news articles related to the Metaverse was created, and Target
Aspect-Sentiment Detection (TASD) models were applied to analyze sentiments ex
pressed toward various aspects of the Metaverse, such as device performance and user
privacy.
A key contribution of this research is the evaluation of the TASD architecture,
TAS-BERT, and its enhanced version, Advanced TAS-BERT (ATAS-BERT), which
performs each task separately, on two datasets: the newly created Metaverse dataset
and the SemEval15 Restaurant dataset. They were tested with different Transformer
based models, including BERT, DeBERTa, RoBERTa, and ALBERT, to assess performance, particularly in cases where the target is implicit.
The findings demonstrate the ability of advanced Transformer models to handle
complex tasks, even when the target is implicit. ALBERT performed well on the simpler Metaverse dataset, while DeBERTa and RoBERTa showed superior performance
on both datasets.
This dissertation also suggests several areas for improvement in future research,
such as processing paragraphs instead of individual sentences, utilizing Meta AI models for dataset annotation to enhance accuracy, and designing architectures specifically
for models like DeBERTa, RoBERTa, and ALBERT, rather than relying on architectures originally designed for BERT, to improve performance. Additionally, incorporating enriched context representations, such as Part-of-Speech tags, could further enhance model performance.
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Keywords
NLP, AI, Sentiment analysis, Metaverse
Citation
Manal Alharbi. Is the Metaverse Failing? Analysing Sentiments Towards the Metaverse. Master of Science Dissertation, Department of Computer Science, University of Manchester, 2024.