An approach to clustering abstracts
Free access to full-text scientific papers in major digital libraries and other web repositories
is limited to only their abstracts consisting of no more than several dozens of words. Current …
is limited to only their abstracts consisting of no more than several dozens of words. Current …
A self-enriching methodology for clustering narrow domain short texts
Clustering narrow domain short texts is considered to be a complex task because of the
intrinsic features of the corpus to be clustered:(i) the low frequencies of vocabulary terms in …
intrinsic features of the corpus to be clustered:(i) the low frequencies of vocabulary terms in …
News text classification based on an improved convolutional neural network
W Tao, D Chang - Tehnički vjesnik, 2019 - hrcak.srce.hr
Sažetak With the explosive growth in Internet news media and the disorganized status of
news texts, this paper puts forward an automatic classification model for news based on a …
news texts, this paper puts forward an automatic classification model for news based on a …
Clustering abstracts instead of full texts
P Makagonov, M Alexandrov, A Gelbukh - International Conference on …, 2004 - Springer
Accessibility of digital libraries and other web-based repositories has caused the illusion of
accessibility of the full texts of scientific papers. However, in the majority of cases such an …
accessibility of the full texts of scientific papers. However, in the majority of cases such an …
An approach for Arabic text categorization using association rule mining
QA Al-Radaideh, EM AL-SHAWAKFA… - … Journal of Computer …, 2011 - World Scientific
Text Categorization (TC) has become one of the major techniques for organizing and
managing online information. Several studies proposed the so-called associative …
managing online information. Several studies proposed the so-called associative …
Sense cluster based categorization and clustering of abstracts
This paper focuses on the use of sense clusters for classification and clustering of very short
texts such as conference abstracts. Common keyword-based techniques are effective for …
texts such as conference abstracts. Common keyword-based techniques are effective for …
On Clustering and Evaluation of Narrow Domain Short-Test Corpora
DE Pinto Avendaño - 2008 - riunet.upv.es
En este trabajo de tesis doctoral se investiga el problema del agrupamiento de conjuntos
especiales de documentos llamados textos cortos de dominios restringidos. Para llevar a …
especiales de documentos llamados textos cortos de dominios restringidos. Para llevar a …