Leveraging Non-negative Matrix Factorization for Extractive Text Summarization

Khurana Alka Au.

Leveraging Non-negative Matrix Factorization for Extractive Text Summarization - Delhi University of Delhi. Faculty of Mathematical Sciences. Deptt. of Computer Science 2024 - 180p.

Source: Theses

Subjects--Topical Terms:
Computr Science

Leveraging Non-negative Matrix Factorization for Extractive Text Summarization

APA

Khurana Alka Au, Bhatnagar Vasudha Gu, . (2024). Leveraging Non-negative Matrix Factorization for Extractive Text Summarization. Delhi: University of Delhi. Faculty of Mathematical Sciences. Deptt. of Computer Science.

Chicago

Khurana Alka Au, Bhatnagar Vasudha Gu, . 2024. Leveraging Non-negative Matrix Factorization for Extractive Text Summarization. Delhi: University of Delhi. Faculty of Mathematical Sciences. Deptt. of Computer Science.

Harvard

MLA

Khurana Alka Au, Bhatnagar Vasudha Gu, . Leveraging Non-negative Matrix Factorization for Extractive Text Summarization. Delhi: University of Delhi. Faculty of Mathematical Sciences. Deptt. of Computer Science. 2024.

Print
Cite
Add to your cart (remove)
Save record
BIBTEX Dublin Core MARCXML MARC (non-Unicode/MARC-8) MARC (Unicode/UTF-8) MARC (Unicode/UTF-8, Standard) MODS (XML) RIS ISBD
More searches

Search for this title in:
Other Libraries (WorldCat) Other Databases (Google Scholar) Online Stores (Bookfinder.com) Open Library (openlibrary.org)

Exporting to Dublin Core...

Simple DC-RDF

OAI-DC

SRW-DC