Skip to main navigation
Skip to search
Skip to main content
EdUHK Research Repository Home
About the Repository
Home
Researchers
Research Units
Projects
Research Outputs
Prizes and Awards
KT Activities
Search by expertise, name or affiliation
A topic modeling based approach to novel document automatic summarization
Zongda WU
, Li LEI
, Guiling LI
, Hui HUANG
, Chengren ZHENG
, Enhong CHEN
,
Guandong XU
Offices of the President (P)
Research output
:
Contribution to journal
›
Articles
›
peer-review
73
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A topic modeling based approach to novel document automatic summarization'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Topic Modeling
100%
Automatic Text Summarization
100%
Compression Ratio
66%
Copyright
33%
Readability
33%
Experiment Results
33%
Topic Word
33%
Topic Diversity
33%
Evaluation Function
33%
Automatic Summary
33%
Inferential Confusion
33%
Machine Readability
33%
High Compression Ratio
33%
Summarization Algorithm
33%
Importance Estimation
33%
Long Length
33%
Multi-document
33%
Computer Science
Topic Modeling
100%
Compression Ratio
100%
Automatic Summarization
100%
Evaluation Function
33%
Engineering
Summarization
100%
Compression Ratio
60%
Earth and Planetary Sciences
Compression Ratio
100%