AI-Powered Summarization: Extracting Key Insights from Text, Video, and PDFs Using spaCy
Year: 2025
Type: conference-paper
Abstract: In this paper we investigate the extractive summarization with spaCy for summarizing YouTube transcript, plain text and PDFs. It includes steps of text preprocessing, tokenization, named entity recognition (NER) and dependency parsing to pull in relevant data. The method we developed to extract those sentences helps keeping coherence and sense, but cut all off-topic parts. Summary is generated in an effective way for decent reading and accuracy by the system.
Authors: Sathyan, Vikhnesh, Devis, Jinson
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930717563
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