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» Ontology-based Text Summarization for Business News Articles
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CATA
2003
14 years 11 days ago
Ontology-based Text Summarization for Business News Articles
† In this paper, we compare two methods for article summarization. The first method is mainly based on term-frequency, while the second method is based on ontology. We build an o...
Chia-Wei Wu, Chao-Lin Liu
EDBT
2008
ACM
138views Database» more  EDBT 2008»
14 years 11 months ago
Mine your own business, mine others' news!
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this...
Boualem Benatallah, Guillaume Raschia, Noureddine ...
ICPR
2008
IEEE
15 years 5 days ago
Tailoring text for automatic layouting of newspaper pages
We consider layouting news articles on a page as a cutting and packing problem with output maximization. We propose to tailor news articles by employing automatic summarization to...
Leonhard Hennig, Thomas Strecker
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
14 years 11 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
DKE
2008
100views more  DKE 2008»
13 years 11 months ago
PeRSSonal's core functionality evaluation: Enhancing text labeling through personalized summaries
In this manuscript we present the summarization and categorization subsystems of a complete mechanism that begins with web-page fetching and concludes with representation of the c...
Christos Bouras, Vassilis Poulopoulos, Vassilis Ts...