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 …

Firms apply strategic foresight in technology and innovation management to detect
discontinuous changes early, to assess their expected consequences, and to develop a …

Consumer-generated content has provided an important new information medium for
tourists, throughout the purchasing lifecycle, transforming the way that visitors evaluate …

Ancient polyploidization events have had a lasting impact on vertebrate genome structure,
organization and function. Some key questions regarding the number of ancient …

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 …

The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …

This paper demonstrates how to use the R package stm for structural topic modeling. The
structural topic model allows researchers to flexibly estimate a topic model that includes …

Though dialectal language is increasingly abundant on social media, few resources exist for
developing NLP tools to handle such language. We conduct a case study of dialectal …

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 …

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 …