Abstract: The rapid emergence of multimedia technologies as well as the Internet saw a rise in the volumes of text data. Such huge amounts of text may give some insights that need to be properly ...
End-to-end NLP pipeline: fine-tuned FLAN-T5 summarization with KeyBERT extraction, spaCy NER, ROUGE evaluation, sentence highlighting, and reading level analysis.
Abstract: Abstractive text summarization uses the summarizer’s own words to capture the main information of a source document in a summary. While it is more challenging to automate than extractive ...
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