Results 61 to 70 of about 1,153 (163)

Utilizing IndoBERT and BERTopic to Explore Public Opinion on BPS Instagram Posts

open access: yesJournal of Applied Informatics and Computing
This study aims to analyze public sentiment and topics of opinion toward the Central Statistics Agency (BPS) through comments on the Instagram account @bps_statistics.
Ahmad Farhan Anugrah, Rendy Dwi Agatha
doaj   +1 more source

Travel Guide Using Text Mining and BERTopic [PDF]

open access: yes, 2022
This thesis aims to identify key topics from travel blog journals created by two bloggers Jones and handluggageonly and create interest directed recommendations to tourists. By applying Text Mining, sentiment analysis, the two writers exhibited different
Jin, Yaolan
core  

From Language Identification to Topic Modelling: A Fully Integrated Pipeline for Multilingual Aspect‐Based Sentiment Analysis and Component‐Level Insights

open access: yesExpert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT The rapid expansion of multilingual digital platforms has made the accurate analysis of user‐generated content across different languages and cultural contexts increasingly essential. However, existing methods struggle to maintain consistent performance due to linguistic diversity, morphological complexity, and structural variations in text ...
Abdulkadir Şeker
wiley   +1 more source

Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review

open access: yesLogistics
Background: Autonomous ships have the potential to increase operational efficiency and reduce carbon footprints through technology and innovation. However, there is no comprehensive literature review of all the different types of papers related to ...
Enna Hirata, Annette Skovsted Hansen
doaj   +1 more source

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source

Implementation of BERTopic for Topic Modeling Analysis of the Free Nutritious Meal Program Based on YouTube Comments

open access: yesJournal of Applied Informatics and Computing
The Free Nutritious Meal Program (Makan Bergizi Gratis), represents a significant national effort aimed at mitigating stunting rates in Indonesia, having commenced its operations in January 2025.
Widya Wahyuni   +3 more
doaj   +1 more source

Narratives, Networks, and the Evolution of Paracrises: Evidence From X (Twitter) Discourse on the Adidas SL72 Campaign

open access: yesJournal of Contingencies and Crisis Management, Volume 34, Issue 2, June 2026.
ABSTRACT This study examined the developmental processes of paracrises and reputational threats amplified on social media, through a case study of the Adidas SL72 sneaker campaign, a faux pas‐type paracrisis. Unlike crises that directly threaten organizational survival, paracrises are reputational threats that primarily impact corporate social ...
Da Eun Song, Dan Ro, Hyunmi Baek
wiley   +1 more source

BERTopic workflow.

open access: yes
This study aims to enhance governmental decision-making by leveraging advanced topic modeling algorithms to analyze public letters on the "People Call Me" online government inquiry platform in Zhejiang Province, China.
Zhouyi Gu (17972850)   +2 more
core   +1 more source

According to BERTopic, what do Danish Parties Debate on when they Address Energy and Environment?

open access: yes, 2023
This paper investigates how two policy areas, Environment and Energy were dealt with by seven Danish left and right wing parties in their electoral manifestos (2007-2019) and parliamentary debates between 2009 and 2020.
Hansen, Dorte Haltrup   +1 more
core  

New Heuristics for Stable LDA Parameter Search

open access: yesComputational Intelligence, Volume 42, Issue 3, June 2026.
ABSTRACT The Latent Dirichlet Allocation (LDA) algorithm automatically extracts latent topics from a textual corpus, but configuring its parameters can be difficult and time‐consuming. Optimization algorithms can help determine the best parameters, but not necessarily the optimal ones.
Simon‐Olivier Harel   +2 more
wiley   +1 more source

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