Abstract: This study compares the performance of two topic modeling techniques, Latent Dirichlet Allocation (LDA) and BERTopic, in analyzing short, unstructured traffic complaint texts from Twitter.

X.com Social Network Topic-Sentiment Analyzer - application that scrapes Twitter/X data, performs Polish-language text normalization and lemmatization, builds topic models with MALLET, and runs ...

Currently, there are several hypotheses surrounding the disappearance of Neanderthals. While they all have at least some scientific support, researchers can't agree on which—or which combination—is ...

Abstract: This research applies latent Dirichlet allocation (LDA) modeling to uncover and analyze key topics and trends in the RESTI journal (Rekayasa Sistem dan Teknologi Informasi) journal from 2018 ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Chris is a writer and editor with over 10 years of experience covering games and has a bachelor's degree in History from the University of Central Lancashire. He's mainly focused on guides, but has ...

Introduction: The convergence of AI, entrepreneurship, and online education has accelerated, yet their intersection remains under-mapped. Methods: We analyzed 489 peer-reviewed articles (2010–2024) ...

Model better prevent discussion of politically sensitive topics Model trained using 1,000 of Huawei's own Ascend AI chips Generative AI models in China must reflect "socialist values" BEIJING, Sept 19 ...

Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China Amid intensifying educational competition and societal expectations, academic stress has emerged as a ...

Contextualized topic modeling was used to identify themes, and the optimal model was selected based on coherence, diversity scores, and expert feedback. In addition, multiclass sentiment analysis ...

In this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed to run seamlessly in Google Colab. It integrates ...