BOOK-CHAPTER

A New Automatic Multi-document Text Summarization using Topic Modeling

Rajendra Kumar RoulSamarth MehrotraYash PungaliyaJajati Keshari Sahoo

Year: 2018 Lecture notes in computer science Pages: 212-221   Publisher: Springer Science+Business Media
Keywords:
Computer science Automatic summarization Latent Dirichlet allocation Natural language processing Similarity (geometry) Sentence Artificial intelligence Set (abstract data type) Information retrieval Topic model Word (group theory) Heuristic Linguistics

Metrics

13
Cited By
2.03
FWCI (Field Weighted Citation Impact)
11
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

DISSERTATION

Shallow semantics for topic-oriented multi-document automatic text summarization

Darren Kipp

University:   uO Research (University of Ottawa) Year: 2008
JOURNAL ARTICLE

Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization

Jipeng QiangPing ChenWei DingTong WangFei XieXindong Wu

Journal:   ACM Transactions on Knowledge Discovery from Data Year: 2019 Vol: 13 (4)Pages: 1-21
BOOK-CHAPTER

Multi-document Text Summarization Using Topic Model and Fuzzy Logic

Sanghoon LeeSaeid BelkasimYanqing Zhang

Lecture notes in computer science Year: 2013 Pages: 159-168
© 2026 ScienceGate Book Chapters — All rights reserved.