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SIGIR
2000
ACM
13 years 9 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
COLING
2010
12 years 11 months ago
Topic-Based Bengali Opinion Summarization
In this paper the development of an opinion summarization system that works on Bengali News corpus has been described. The system identifies the sentiment information in each docu...
Amitava Das, Sivaji Bandyopadhyay
WWW
2007
ACM
14 years 5 months ago
A new suffix tree similarity measure for document clustering
In this paper, we propose a new similarity measure to compute the pairwise similarity of text-based documents based on suffix tree document model. By applying the new suffix tree ...
Hung Chim, Xiaotie Deng
CIKM
2004
Springer
13 years 10 months ago
A practical web-based approach to generating topic hierarchy for text segments
It is crucial in many information systems to organize short text segments, such as keywords in documents and queries from users, into a well-formed topic hierarchy. In this paper,...
Shui-Lung Chuang, Lee-Feng Chien
JAIR
2010
94views more  JAIR 2010»
13 years 3 months ago
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
Sajib Dasgupta, Vincent Ng