Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda
The rapid advancement of artificial intelligence (AI) offers exciting opportunities for
marketing practice and academic research. In this study, through the application of natural …
marketing practice and academic research. In this study, through the application of natural …
How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions
Big Data and machine learning (ML) technologies have the potential to impact many facets
of environment and water management (EWM). Big Data are information assets …
of environment and water management (EWM). Big Data are information assets …
Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda
As remote work has become more common than ever throughout the COVID-19 pandemic, it
has drawn special attention from scholars. However, the outcome has been significantly …
has drawn special attention from scholars. However, the outcome has been significantly …
Aspect extraction for opinion mining with a deep convolutional neural network
In this paper, we present the first deep learning approach to aspect extraction in opinion
mining. Aspect extraction is a subtask of sentiment analysis that consists in identifying …
mining. Aspect extraction is a subtask of sentiment analysis that consists in identifying …
[KSIĄŻKA][B] Lifelong machine learning
Lifelong Machine Learning, Second Edition is an introduction to an advanced machine
learning paradigm that continuously learns by accumulating past knowledge that it then …
learning paradigm that continuously learns by accumulating past knowledge that it then …
Applications of topic models
How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …
documents? This is an increasingly common problem: sifting through an organization's e …
A model of text for experimentation in the social sciences
Statistical models of text have become increasingly popular in statistics and computer
science as a method of exploring large document collections. Social scientists often want to …
science as a method of exploring large document collections. Social scientists often want to …
[KSIĄŻKA][B] Sentiment analysis and opinion mining
B Liu - 2022 - books.google.com
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …
[PDF][PDF] Optimizing semantic coherence in topic models
Latent variable models have the potential to add value to large document collections by
discovering interpretable, low-dimensional subspaces. In order for people to use such …
discovering interpretable, low-dimensional subspaces. In order for people to use such …
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 …