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ACL
2006
13 years 7 months ago
A Study on Automatically Extracted Keywords in Text Categorization
This paper presents a study on if and how automatically extracted keywords can be used to improve text categorization. In summary we show that a higher performance -- as measured ...
Anette Hulth, Beáta Megyesi
CICLING
2001
Springer
13 years 10 months ago
Automatic Keyword Extraction Using Domain Knowledge
Documents can be assigned keywords by frequency analysis of the terms found in the document text, which arguably is the primary source of knowledge about the document itself. By in...
Anette Hulth, Jussi Karlgren, Anna Jonsson, Henrik...
CORR
2004
Springer
133views Education» more  CORR 2004»
13 years 5 months ago
Automatic Keyword Extraction from Spoken Text. A Comparison of two Lexical Resources: the EDR and WordNet
Lexical resources such as WordNet and the EDR electronic dictionary (EDR) have been used in several NLP tasks. Probably partly due to the fact that the EDR is not freely available...
Lonneke van der Plas, Vincenzo Pallotta, Martin Ra...
SIGIR
2012
ACM
11 years 8 months ago
Will this #hashtag be popular tomorrow?
Hashtags are widely used in Twitter to define a shared context for events or topics. In this paper, we aim to predict hashtag popularity in near future (i.e., next day). Given a ...
Zongyang Ma, Aixin Sun, Gao Cong
ISEMANTICS
2010
13 years 7 months ago
Twarql: tapping into the wisdom of the crowd
Twarql is an infrastructure translating microblog posts from Twitter as Linked Open Data in real-time. The approach employed in Twarql can be summarized as follows: (1) extract co...
Pablo N. Mendes, Alexandre Passant, Pavan Kapanipa...