A Data-driven Latent Semantic Analysis for Automatic Text Summarization using LDA Topic Modelling. (arXiv:2207.14687v3 [cs.IR] UPDATED)

With the advent and popularity of big data mining and huge text analysis in
modern times, automated text summarization became prominent for extracting and
retrieving important information from documents. This research investigates
aspects of automatic text summarization from the perspectives of single and
multiple documents. Summarization is a task of condensing huge text articles
into short, summarized versions. The text is reduced in size for summarization
purpose but preserving key vital information and retaining the meaning of the
original document. …

analysis arxiv data data-driven lda modelling semantic summarization text text summarization