[HTML][HTML] Service chatbot: Co-citation and big data analysis toward a review and research agenda

SE Lee, N Ju, KH Lee - Technological Forecasting and Social Change, 2023 - Elsevier
This study identified the research trends and intellectual structure of chatbots, through
chatbot-related articles to suggest a future research agenda. Systematic literature reviews …

Understanding digital consumer: A review, synthesis, and future research agenda

A Sağkaya Güngör… - International Journal of …, 2022 - Wiley Online Library
In the last 20 years, the proliferation of digital technologies has significantly impacted both
businesses' operations and how consumers get information, engage, and buy. Through the …

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 …

A biterm topic model for short texts

X Yan, J Guo, Y Lan, X Cheng - … of the 22nd international conference on …, 2013 - dl.acm.org
Uncovering the topics within short texts, such as tweets and instant messages, has become
an important task for many content analysis applications. However, directly applying …

Btm: Topic modeling over short texts

X Cheng, X Yan, Y Lan, J Guo - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Short texts are popular on today's web, especially with the emergence of social media.
Inferring topics from large scale short texts becomes a critical but challenging task for many …

Topic modelling for qualitative studies

SI Nikolenko, S Koltcov… - Journal of Information …, 2017 - journals.sagepub.com
Qualitative studies, such as sociological research, opinion analysis and media studies, can
benefit greatly from automated topic mining provided by topic models such as latent Dirichlet …

Improving lda topic models for microblogs via tweet pooling and automatic labeling

R Mehrotra, S Sanner, W Buntine, L Xie - Proceedings of the 36th …, 2013 - dl.acm.org
Twitter, or the world of 140 characters poses serious challenges to the efficacy of topic
models on short, messy text. While topic models such as Latent Dirichlet Allocation (LDA) …

Understanding the limiting factors of topic modeling via posterior contraction analysis

J Tang, Z Meng, X Nguyen, Q Mei… - … on machine learning, 2014 - proceedings.mlr.press
Topic models such as the latent Dirichlet allocation (LDA) have become a standard staple in
the modeling toolbox of machine learning. They have been applied to a vast variety of data …

Keyword‐assisted topic models

S Eshima, K Imai, T Sasaki - American Journal of Political …, 2024 - Wiley Online Library
In recent years, fully automated content analysis based on probabilistic topic models has
become popular among social scientists because of their scalability. However, researchers …

Making better use of the crowd: How crowdsourcing can advance machine learning research

JW Vaughan - Journal of Machine Learning Research, 2018 - jmlr.org
This survey provides a comprehensive overview of the landscape of crowdsourcing
research, targeted at the machine learning community. We begin with an overview of the …