Results 111 to 120 of about 23,460 (215)
Text Mining in Bibliometrics and Science Mapping: A Methodological Review
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
Classification of Twitter Trending Issues Through Three Clustering Methods
Twitter is one of the most dynamic social media platforms that provides real-time information through its trending topics feature, which reflects the most talked about issues among users.
Dwie Putri Donnaro, Dadang Gunawan
doaj +1 more source
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
Thesis Topic Modeling Study: Latent Dirichlet Allocation (LDA) and Machine Learning Approach
The thesis reports housed in the campus repository have yet to be analyzed to reveal valuable knowledge patterns. Analyzing trends in thesis research topics can facilitate the selection of research topics, aid in mapping research areas, and identify underexplored topics.Therefore, this research aims to model and classify thesis topics using Latent ...
Yuri Ariyanto +4 more
openaire +1 more source
This research explores the role of Micro, Small, and Medium Enterprises (MSMEs) in the Indonesian economy, focusing on sales and marketing challenges in the era of social media, especially YouTube. With millions of individuals using this platform to share product insights, reviews, and experiences, MSMEs need to receive relevant feedback.
Vika Alpiana +4 more
openaire +1 more source
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
wiley +1 more source
Topic Modeling Approach on Twitter Data Relevant to Political Changes During the COVID-19 Pandemic
The COVID-19 pandemic has affected various sectors of society, including politics. The political changes have had both positive and negative impacts on people’s lives. Different public discussions happened during that situation on social media.
M. G. D. S. Hansika +2 more
doaj +1 more source
ABSTRACT Although recent literature on the circular economy (CE) has highlighted the important role of ecosystems, there is still limited understanding of the main themes that characterize circular ecosystems. This study addresses this gap by combining a comprehensive topic modeling analysis employing latent Dirichlet allocation (LDA) with a systematic
Aline Gabriela Ferrari +4 more
wiley +1 more source
Scoping review on natural language processing applications in counselling and psychotherapy
Abstract Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021.
Maria Laricheva +3 more
wiley +1 more source

