Add to ORKGWe provide a brief, non-technical introduction to the text mining methodology known as topic modeling. We summarize the theory and background of the method and discuss just what kinds of things are found by topic models. Using a text corpus comprised of the eight articles from the special issue of Poetics on the subject of topic models, we run a topic model on these papers both as a way to introduce the methodology and also to help summarize some of the ways in which social and cultural scientists are using topic models. We review some of the critiques and debates over the use of the method and finally, we link these developments back to some of the original innovations in the field of content analysis that were pioneered by Harold D. Lass...
Increasingly, management researchers are using topic modeling, a new method borrowed from computer s...
This article explores and critically evaluates the potential contribution to discourse studies of to...
Topic modeling algorithms, such as LDA, find topics, hidden structures, in document corpora in an un...
We provide a brief, non-technical introduction to the text mining methodology known as topic modelin...
Increasingly, management researchers are using topic modeling, a new method borrowed from computer s...
Text contents are overloaded with the digitization of the data and new contents are transmitted thro...
New analytical approaches, like topic modeling, can illuminate subtle transformations, revealing con...
The social sciences and digital humanities have recently adopted the machine learning technique of t...
The social sciences and digital humanities have recently adopted the machine learning technique of t...
It is estimated that the world’s data will increase to roughly 160 billion terabytes by 2025, with m...
It is estimated that the world’s data will increase to roughly 160 billion terabytes by 2025, with m...
Inductive content analysis is a research task in which a researcher manually reads text and identifi...
Topic models are widely used unsupervised models capable of learning topics – weighted lists of word...
Increasingly, management researchers are using topic modeling, a new method borrowed from computer ...
Increasingly, management researchers are using topic modeling, a new method borrowed from computer s...
Increasingly, management researchers are using topic modeling, a new method borrowed from computer s...
This article explores and critically evaluates the potential contribution to discourse studies of to...
Topic modeling algorithms, such as LDA, find topics, hidden structures, in document corpora in an un...
We provide a brief, non-technical introduction to the text mining methodology known as topic modelin...
Increasingly, management researchers are using topic modeling, a new method borrowed from computer s...
Text contents are overloaded with the digitization of the data and new contents are transmitted thro...
New analytical approaches, like topic modeling, can illuminate subtle transformations, revealing con...
The social sciences and digital humanities have recently adopted the machine learning technique of t...
The social sciences and digital humanities have recently adopted the machine learning technique of t...
It is estimated that the world’s data will increase to roughly 160 billion terabytes by 2025, with m...
It is estimated that the world’s data will increase to roughly 160 billion terabytes by 2025, with m...
Inductive content analysis is a research task in which a researcher manually reads text and identifi...
Topic models are widely used unsupervised models capable of learning topics – weighted lists of word...
Increasingly, management researchers are using topic modeling, a new method borrowed from computer ...
Increasingly, management researchers are using topic modeling, a new method borrowed from computer s...
Increasingly, management researchers are using topic modeling, a new method borrowed from computer s...
This article explores and critically evaluates the potential contribution to discourse studies of to...
Topic modeling algorithms, such as LDA, find topics, hidden structures, in document corpora in an un...