Results 71 to 80 of about 1,354 (119)
Scene Semantic Recognition Based on Probability Topic Model
In recent years, scene semantic recognition has become the most exciting and fastest growing research topic. Lots of scene semantic analysis methods thus have been proposed for better scene content interpretation.
Jiangfan Feng, Amin Fu
doaj +1 more source
Freshwater Biodiversity Research in Brazil: Trends from a Systematic Review and Topic Modeling
ABSTRACT Brazil is a megadiverse country that hosts six major biomes and a vast freshwater network. Despite this richness, research on freshwater biodiversity has been heterogeneous across regions, communities, and time, leaving significant knowledge gaps.
Paula Caroline dos Reis Oliveira +24 more
wiley +1 more source
ABSTRACT Biochemical oxygen demand (BOD) remains a core indicator of organic pollution in freshwater monitoring, but its role in water policy and practice is changing as water‐quality assessment moves toward predictive, integrative, and decision‐support approaches.
Isadora Favero Roque Cenci +5 more
wiley +1 more source
A Data‐Driven Review of Geoscience Research Evolution Using SciBERT‐Based Topic and Network Analysis
This review synthesises the evolution of global geoscience research from 2004 to 2023 using large‐scale bibliometric evidence. By combining keyword co‐occurrence network analysis with SciBERT‐based topic modelling, it identifies major paradigm transitions from geology‐centred research to climate‐focused studies and recent data‐ and AI‐driven ...
Sooyeon Han, Ju‐seop Kim
wiley +1 more source
This graphical abstract shows how Ryu Si‐min's 1985 Appeal Brief became available for civic reading in contemporary digital publics. The qualitatively led convergent mixed‐methods design combined sentence‐level rhetorical analysis of 184 source‐text sentences, directed qualitative analysis of 752 online reader reviews, and separate corpus‐level LDA ...
Goun Park
wiley +1 more source
Latent Dirichlet Allocation (LDA) topic models for Space Syntax studies on spatial experience
Spatial experience has been extensively researched in various fields, with Space Syntax being one of the most widely used methodologies. Multiple Space Syntax techniques have been developed and used to quantitively examine the relationship between ...
Ju Hyun Lee, Michael J. Ostwald
doaj +1 more source
The development of artificial intelligence technologies has led to their massive integration in various fields, including daily life. Text data plays a pivotal role in the world of artificial intelligence, especially in machine learning, allowing ...
Shahlaa Mashhadani
doaj +1 more source
ABSTRACT This paper examines the current state of the art regarding the contribution of Higher Education Institutions (HEIs) to the achievement of the Sustainable Development Goals (SDGs). We conducted a Systematic Literature Review Analysis (SLRA), which integrates a traditional Systematic Literature Review (SLR) with Bibliographic Analysis (BA), on a
Pasquale Latella, Stefania Veltri
wiley +1 more source
Optimasi LDA untuk Analisis Keluhan Nasabah Perbankan dengan Grid Search
Penelitian ini bertujuan untuk menganalisis topik pada data keluhan nasabah perbankan menggunakan metode Latent Dirichlet Allocation (LDA) yang disempurnakan dengan penyetelan parameter menggunakan Grid Search. Dataset berasal dari situs ConsumerFinance.
Rika Afriyani, Eka Angga Laksana
doaj +1 more source
ABSTRACT This study presents a comprehensive methodology for processing multilingual customer support data to prepare it for training AI‐based conversational systems. Using a dataset of 36,599 unique customer interactions from a Finnish energy company, we employed language‐specific BERT models to identify and analyse thematic patterns within customer ...
Joona Mäntyvaara +2 more
wiley +1 more source

