AI-Powered Summarization: Extracting Key Insights from Text, Video, and PDFs Using spaCy

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-22
DOI
https://doi.org/10.5281/zenodo.15486674
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Summarization: Extracting Key Insights from Text, Video, and PDFs Using spaCy

Zenodo (CERN European Organization for Nuclear Research)
Parkinson's Disease Mechanisms and Treatments
article

AI-Powered Summarization: Extracting Key Insights from Text, Video, and PDFs Using spaCy

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 41%
Parkinson's Disease Mechanisms and Treatments
DOIOpen Access PDFOpenAlex
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AI-Powered Summarization: Extracting Key Insights from Text, Video, and PDFs Using spaCy · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS