Results 131 to 140 of about 13,047 (256)

Gaussian hierarchical latent Dirichlet allocation: Bringing polysemy back. [PDF]

PLoS One, 2023
Yoshida T, Hisano R, Ohnishi T.
europepmc   +1 more source

Natural Language Processing for Groundwater Insights

Groundwater, EarlyView.
Catherine Christenson, Kurt McCoy
wiley   +1 more source

LLM‐Assisted Topic Modelling for Hate Speech Characterization

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT In the digital era, the internet and social media have transformed communication but have also facilitated the spread of hate speech and disinformation, leading to radicalization, polarisation and toxicity. This is especially concerning for media outlets due to their significant role in shaping public discourse. This study examines the topics,
Alejandro Buitrago López, Javier Pastor‐Galindo, José A. Ruipérez‐Valiente   +2 more
wiley   +1 more source

Latent Dirichlet Markov allocation for sentiment analysis [PDF]

, 2013
In recent years probabilistic topic models have gained tremendous attention in data mining and natural language processing research areas. In the field of information retrieval for text mining, a variety of probabilistic topic models have been used to ...
de Jong, Franciska M.G., Saraee, Mohamad, Bagheri, Ayoub   +2 more
core  

Latent Dirichlet Allocation

, 2003
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian model, in which each item of a collection is modeled as a finite mixture ...
David M. Blei, Michael I. Jordan, Andrew Y. Ng   +2 more
core   +1 more source

Topic Modelling of Doctoral Theses Written on Lung Cancer in Türkiye Using LDA

SDÜ Vizyoner Dergisi
The aim of the study is to examine the research status, subject and content of doctoral theses on lung cancer in Türkiye. In December 2024, research documents are scanned using the text mining method in R software, employing topic-based text analysis ...
Fatma Üzümcü, Nezihe Tüfekci
doaj   +1 more source

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

Expert 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

Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust

Information Systems Journal, Volume 36, Issue 4, Page 597-623, July 2026.
ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
wiley   +1 more source

Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping. [PDF]

PLoS One, 2023
Ma R, Kim YJ.
europepmc   +1 more source

A Comparative Study of Topic Modelling Approaches for User-generated Point of Interest Data

Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA
This study aims to enhance urban planning and management by harnessing the power of machine learning (ML) and big data. We focus on Urban Functional Zones (UFZs), the fundamental units for human socio-economic activities.
Ravi Satyappa Dabbanavar, Arindam Biswas
doaj   +1 more source