Unsupervised Extractive Text Summarization Using Frequency-Based Sentence Clustering

Ali Hajjar; Joe Tekli

doi:10.1007/978-3-031-15743-1_23

ScienceGate Book Chapters

BOOK-CHAPTER

Unsupervised Extractive Text Summarization Using Frequency-Based Sentence Clustering

Ali Hajjar Joe Tekli

Year: 2022 Communications in computer and information science Pages: 245-255 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-15743-1_23

Get Full-Text PDF Get Analytical Report

Keywords:

Automatic summarization Computer science Sentence Cluster analysis Natural language processing Feature (linguistics) Artificial intelligence Text graph Representation (politics) Document clustering Process (computing) Information retrieval Linguistics

Metrics

Cited By

1.46

FWCI (Field Weighted Citation Impact)

Refs

0.83

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Unsupervised Extractive Text Summarization Using Frequency-Based Sentence Clustering

Metrics

Citation History

Topics

Related Documents

Unsupervised Extractive Text Summarization Using Distance-Based Clustering Algorithms

Extractive Text Summarization Using Sentence Ranking

Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs

Distributed Hierarchical Sentence Embeddings for Unsupervised Extractive Text Summarization

Extractive text summarization using clustering-based topic modeling