Results 81 to 90 of about 2,670 (204)
Exploring Public Converse on AI via Reddit: A Topic Modeling and Sentiment Analysis Approach
The 21st Century is a compressed century, where Artificial Intelligence (AI) plays a crucial role in the new phase of digital transformation, disrupting various aspects of society, including art, education, and healthcare.
Xi Chen, Tala Talaei Khoei, Aditi Singh
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Exploring Problem Framing activity using BERTopic
ABSTRACT: Problem framing is a foundational aspect of the engineering design process, shaping how designers perceive challenges and potential solutions. Qualitiative methods, such as protocol analysis, have provided valuable insights about problem framing but are labor-intensive and time consuming. This study explores the use of a NLP
Gregory Litster, Emily Moore
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BERTopic: Neural topic modeling with a class-based TF-IDF procedure
Topic models can be useful tools to discover latent topics in collections of documents. Recent studies have shown the feasibility of approach topic modeling as a clustering task. We present BERTopic, a topic model that extends this process by extracting coherent topic representation through the development of a class-based variation of TF-IDF.
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Topic information mined by the BERTopic algorithm (N = 17,593).
Topic information mined by the BERTopic algorithm (N = 17,593).
Zhouyi Gu (17972850) +2 more
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The rapid advancement of artificial intelligence (AI) has intensified public concerns regarding job automation and potential workforce displacement. While previous studies often examine sentiment, topic modeling, or temporal trends separately, this study
Valencia Elcheiana Irawan +1 more
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With growing attention being paid to electric vehicle (EV) technology as a response to climate change, researchers have been actively investigating the classification and trajectory trends of EV technology.
Wonjun Choi, Hyunseok Park
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Historic blocks play a crucial role in sustainable urban and rural development by preserving cultural heritage while adapting to contemporary needs. However, visitor perspectives – particularly regarding spatial perceptions and satisfaction – remain ...
Xiao Gu +4 more
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LLM-Assisted Topic Reduction for BERTopic on Social Media Data
The BERTopic framework leverages transformer embeddings and hierarchical clustering to extract latent topics from unstructured text corpora. While effective, it often struggles with social media data, which tends to be noisy and sparse, resulting in an excessive number of overlapping topics. Recent work explored the use of large language models for end-
Wannes Janssens +2 more
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BERTopic and Sentiment Emotion Analysis for Business Narratives on Quantum Technology
This dataset contains a Python file (2025 BERTopic Work.py), an Excel file (final_updated_topics.xlsx), and a folder (All txt data). The Python file shows the code to run BERTopic, sentiment, and emotion analysis for the paper "Narratives from Commercial,
Ma, Charles
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This thesis provides insights into the BERTopic framework for topic modeling by examining sub-model selection and aims to retrieve and assess evaluation metrics specific to neural topic models developed in current literature.
Valentin, Antes
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