… works leveraging keyword co-occurrence on sentiment analysis. Therefore, this study presents
a survey of sentiment analysis focusing on the evolution of research methods and topics. …

… For nearly two decades, TM has been a successful text analysis technique. Integrating this
technique with Deep Neural Networks (DNN) has opened a new and growing research area. …

… Homophily is a fundamental topic in network science and can provide insights into the flow
… Using these features, we were able to filter out 108 relevant research articles out of 347 …

… of precise outcomes of research. We explored several survey studies around our topic, shown
in … Our general observation from analysis of the literature is that the existing surveys mostly …

… Each book includes a survey of current archaeological … the inaugural issue of the journal
Network Science. Brandes … where network science fits in archaeological research on the …

… privacy issues, or apply strategies to address ethical issues. We … textual analysis support for
decades. The maturation of image … research methods such as interviews and surveys; in fact, …

… survey publications in top accounting journals and describe the trend and current state of
textual analysis … learning and topic modeling, will likely advance textual analysis in accounting. …

… and other open science-related practices and topics. The … advances in data science, network
science, artificial intelligence … such as interviews and surveys, can improve measurement …

… that can be applied to a variety of disciplines and topics. … and visualizing data for text analysis
of the ChatGPT YouTube … for text analysis, the study adds to the reper- toire of research …

… Within this research, topics are the clusters to which statistical analysis will assign words
from the Tweets. Documents are the individual Tweets appearing in the data, and the corpus is …