… Using the latest developments in machine learning and text mining, we analyze CSR literature
using structural topic modeling (… Our analysis identified 19 word-clusters that represent …

… as corporate social responsibility (CSR) or sustainability reports … In this study, we only analyze
the reports reported in English … the topic modeling to obtain the data-driven topics from the …

… For example, the evolution of themes and clusters in circular … need to label documents in
advance, analysis can be done … corporate social responsibility),’’ while the second only used “…

… visualization, spectral clustering and automatic cluster labelling for further analysis in this …
Beside this, this software can analyze the network from different aspects of the collected data…

… It first uses topic modeling to identify clusters within the narrative materials. These reflect the
… In this section we analyze the previous empirical setting. We first perform topic modeling to …

… attempts in favor of corporate social responsibility (CSR) … in conducting a textual analysis
with topic model, including its … Thus, the technique overcomes the pre-established clusters of …

… analyze on a global level, without focusing on any specific company or sector, the use that is
being made of the social … programming in R and using an Application Program Interface (API…

… analysis gives clues and establishes links among clusters and … be derived from the fact that
it is a quantitative analysis, so … with the use of other computer tools from data analysis, might …

… When we observe these clusters and the popular keywords from the perspective of their …
wealth clusters have appeared, marked by the high frequency of the keywords “responsibility” …

… Dynamic Topic Model … We believe that, as environmental and corporate social responsibility
features grow around the world, more developing countries will acquire an interest in ESG …