From structured documents to novel query facilities

V Christophides, S Abiteboul, S Cluet, M Scholl - ACM SIGMOD Record, 1994 - dl.acm.org
class Tble inherit Text class Author inherit Text class Affit inherit Text class Abarract
inherit Text class Section puhtic type union (al: tupte (titkx TMe, bedie~ list (Body)), Q mple (titk …

Graph vs. bag representation models for the topic classification of web documents

G Papadakis, G Giannakopoulos, G Paliouras - World Wide Web, 2016 - Springer
… Web documents affects the performance of text classification … into a class graph; to classify
an unlabelled document, we … It involves disjoint categories (ie, each document is assigned …

[图书][B] Text classification aided by clustering: a literature review

A Kyriakopoulou - 2008 - intechopen.com
… A standard research issue for text classification is … , documents and classes. There are
several approaches that try to quantify the notion of information for the basic components of a text

[PDF][PDF] Supervised and unsupervised machine learning techniques for text document categorization

A Ozgur - Unpublished Master's Thesis, İstanbul: Boğaziçi …, 2004 - Citeseer
Text filtering is the process of classifying a dynamic collection of text documents into two
disjoint … where nji is number of documents of class i that are assigned to cluster j. So, Pj is the …

[图书][B] Learning to classify text using support vector machines

T Joachims - 2012 - books.google.com
text classification: automatically classifying text documents based on their content. The
appearance of billions of online documents … in text classification—namely binary, multi-class, and …

Machine learning in automated text categorization

F Sebastiani - ACM computing surveys (CSUR), 2002 - dl.acm.org
… documents into two disjoint categories, the relevant and the irrelevant. Additionally, … Tr
into classes of documents that have the same value for tk, and placing each such class in a …

Review on semantic document clustering

SA Fahad, WM Yafooz - International Journal of Contemporary …, 2017 - ojs.mediu.edu.my
Text documents area unit growing speedily as a result of the … into k disjoint classes such
that the data objects in a class are nearer to one another than the data objects in other classes. …

Generalized funnelling: Ensemble learning and heterogeneous document embeddings for cross-lingual text classification

A Moreo, A Pedrotti, F Sebastiani - ACM Transactions on Information …, 2022 - dl.acm.org
… the set of the target languages are disjoint, nor it is necessarily … the text classification task are
words, documents, and classes, … between different classes: Understanding how classes are …

Learning information extraction rules for semi-structured and free text

S Soderland - Machine learning, 1999 - Springer
… throughout a document, particularly in the case of free text. In … Class names are displayed
in this paper as italicized words … test partitions the instances into disjoint classes. This is a key …

Interpretable and reconfigurable clustering of document datasets by deriving word-based rules

V Balachandran, DP, D Khemani - … of the 18th ACM conference on …, 2009 - dl.acm.org
Text Clustering is the process of grouping text documents … It may be noted that these clusters
need not be disjoint and … ; each document is assigned to a unique specific class in each …