[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 …
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 …
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 …
research. Yet, questions regarding reliability and validity of the approach have received little …
A biterm topic model for short texts
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 …
an important task for many content analysis applications. However, directly applying …
Btm: Topic modeling over short texts
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 …
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 …
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
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) …
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
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 …
the modeling toolbox of machine learning. They have been applied to a vast variety of data …
Keyword‐assisted topic models
In recent years, fully automated content analysis based on probabilistic topic models has
become popular among social scientists because of their scalability. However, researchers …
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 …
research, targeted at the machine learning community. We begin with an overview of the …