Results 81 to 90 of about 2,670 (204)

Exploring Public Converse on AI via Reddit: A Topic Modeling and Sentiment Analysis Approach

open access: yesJournal of Social Computing
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
doaj   +1 more source

Exploring Problem Framing activity using BERTopic

open access: yesProceedings of the Design Society
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
openaire   +1 more source

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

open access: yesCoRR, 2022
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.
openaire   +3 more sources

Topic information mined by the BERTopic algorithm (N = 17,593).

open access: yes
Topic information mined by the BERTopic algorithm (N = 17,593).
Zhouyi Gu (17972850)   +2 more
core   +1 more source

Sentiment Analysis of AI-Driven Job Automation in Indonesia: Integrating LSTM, BERTopic, and Time-Series Forecasting for Job Displacement Risk Prediction

open access: yesJournal of Applied Informatics and Computing
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
doaj   +1 more source

Quantitative identification and characterization of technological trends in the electric vehicle industry

open access: yesJournal of Intellectual Property
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
doaj   +1 more source

Integrating topic clustering and sentiment analysis for visitor perception evaluation in historic blocks: insights from the Dadou Road case

open access: yesJournal of Asian Architecture and Building Engineering
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
doaj   +1 more source

LLM-Assisted Topic Reduction for BERTopic on Social Media Data

open access: yes
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
openaire   +3 more sources

BERTopic and Sentiment Emotion Analysis for Business Narratives on Quantum Technology

open access: yes
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
core   +1 more source

Neural topic modeling with BERTopic : submodel selection factors and overall model evaluation metrics

open access: yes
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
core   +4 more sources

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