Topic modeling using latent Dirichlet allocation: A survey
We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …
relatively small subset. A computational tool is extremely needed to understand such a …
An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in …
With artificial intelligence permeating conversations and marketing interactions through
digital technologies and media, machine learning models, in particular, natural language …
digital technologies and media, machine learning models, in particular, natural language …
Full-text or abstract? examining topic coherence scores using latent dirichlet allocation
This paper assesses topic coherence and human topic ranking of uncovered latent topics
from scientific publications when utilizing the topic model latent Dirichlet allocation (LDA) on …
from scientific publications when utilizing the topic model latent Dirichlet allocation (LDA) on …
Exploring the space of topic coherence measures
Quantifying the coherence of a set of statements is a long standing problem with many
potential applications that has attracted researchers from different sciences. The special …
potential applications that has attracted researchers from different sciences. The special …
[PDF][PDF] Machine reading tea leaves: Automatically evaluating topic coherence and topic model quality
Topic models based on latent Dirichlet allocation and related methods are used in a range
of user-focused tasks including document navigation and trend analysis, but evaluation of …
of user-focused tasks including document navigation and trend analysis, but evaluation of …
[HTML][HTML] Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis
Blockchain has become one of the core technologies in Industry 4.0. To help decision-
makers establish action plans based on blockchain, it is an urgent task to analyze trends in …
makers establish action plans based on blockchain, it is an urgent task to analyze trends in …
An analysis of the coherence of descriptors in topic modeling
In recent years, topic modeling has become an established method in the analysis of text
corpora, with probabilistic techniques such as latent Dirichlet allocation (LDA) commonly …
corpora, with probabilistic techniques such as latent Dirichlet allocation (LDA) commonly …
Exploring antecedents impacting user satisfaction with voice assistant app: A text mining-based analysis on Alexa services
Abstract The Amazon Alexa app is one of the most widely used voice assistant apps to
manage customer information-seeking behavior and voice shop**. It provides …
manage customer information-seeking behavior and voice shop**. It provides …
Pulling out the stops: Rethinking stopword removal for topic models
It is often assumed that topic models benefit from the use of a manually curated stopword list.
Constructing this list is time-consuming and often subject to user judgments about what …
Constructing this list is time-consuming and often subject to user judgments about what …
Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis
Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …
embraced by individuals, groups, and organizations as a valuable source of information …