The evolution of topic modeling
R Churchill, L Singh - ACM Computing Surveys, 2022 - dl.acm.org
Topic models have been applied to everything from books to newspapers to social media
posts in an effort to identify the most prevalent themes of a text corpus. We provide an in …
posts in an effort to identify the most prevalent themes of a text corpus. We provide an in …
A survey on dialogue systems: Recent advances and new frontiers
Dialogue systems have attracted more and more attention. Recent advances on dialogue
systems are overwhelmingly contributed by deep learning techniques, which have been …
systems are overwhelmingly contributed by deep learning techniques, which have been …
[HTML][HTML] Exploring the boundaries of open innovation: Evidence from social media mining
JR Saura, D Palacios-Marqués, D Ribeiro-Soriano - Technovation, 2023 - Elsevier
Technological development of the last several decades has driven open innovation towards
organizational, business, social, and economic change. Open innovation has emerged as …
organizational, business, social, and economic change. Open innovation has emerged as …
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
The spread of true and false news online
We investigated the differential diffusion of all of the verified true and false news stories
distributed on Twitter from 2006 to 2017. The data comprise~ 126,000 stories tweeted by~ 3 …
distributed on Twitter from 2006 to 2017. The data comprise~ 126,000 stories tweeted by~ 3 …
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …
data discovery, and finding relationships among data and text documents. Researchers …
Applying LDA topic modeling in communication research: Toward a valid and reliable methodology
D Maier, A Waldherr, P Miltner… - Computational …, 2021 - taylorfrancis.com
Latent Dirichlet allocation (LDA) topic models are increasingly being used in communication
research. Yet, questions regarding reliability and validity of the approach have received little …
research. Yet, questions regarding reliability and validity of the approach have received little …
Uses and gratifications of problematic social media use among university students: A simultaneous examination of the Big Five of personality traits, social media …
Recent studies suggest that users' preferences of social media use differ according to their
individual differences and use motives, and that these factors can lead to problematic social …
individual differences and use motives, and that these factors can lead to problematic social …
Survey on evaluation methods for dialogue systems
In this paper, we survey the methods and concepts developed for the evaluation of dialogue
systems. Evaluation, in and of itself, is a crucial part during the development process. Often …
systems. Evaluation, in and of itself, is a crucial part during the development process. Often …
Short text topic modeling techniques, applications, and performance: a survey
Analyzing short texts infers discriminative and coherent latent topics that is a critical and
fundamental task since many real-world applications require semantic understanding of …
fundamental task since many real-world applications require semantic understanding of …