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Authors
(4031)
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Keywords
Text Classification
Text Classification - TC
Publications: 2,307
|
Citation Count: 27,938
Stemming Variations:
text classifications, Texts Classification, texte classification, textes classification, Text Classif
Cumulative
Annual
Definition Context
(5)
Text classification is the automated assignment of natural language texts to predefined categories based on their content. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as producing summaries, answering questions or extracting data...
S. M. Kamruzzaman
,
et al.
Text Classification using Association Rule with a Hybrid Concept of Na...
Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as producing summaries, answering questions or extracting data. Existing supervised learning algorithms to automatically classify text need sufficient documents to learn accurately...
S. M. Kamruzzaman
,
et al.
Text Classification using Data Mining
Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as producing summaries, answering questions or extracting data. Existing supervised learning algorithms for classifying text need sufficient documents to learn accurately...
S. M. Kamruzzaman
.
Text Classification using Artificial Intelligence
Text classification is a supervised technique that uses labelled training data to learn the classification system and then automatically classifies the remaining text using the learned system...
Fadi Thabtah
,
et al.
Naïve Bayesian Based on Chi Square to Categorize Arabic Data
Text classification is an important task in the legal domain. In fact, most of the legal information is stored as text in a quite unstructured format and it is important to be able to automatically classify these texts into a predefined set of concepts.Support Vector Machines (SVM), a machine learning algorithm, has shown to be a good classifier for text bases [12]...
Teresa Gonçalves
,
et al.
Is linguistic information relevant for the classification of legal tex...
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Publications
(2307)
reliability
(
Citations: 3
)
Xinghua Fan
,
Shaozhu Wang
Published in 2012.
Effective Pattern Discovery for Text Mining
Ning Zhong
,
Yuefeng Li
,
Sheng-Tang Wu
Journal:
IEEE Transactions on Knowledge and Data Engineering - TKDE
, vol. 24, no. 1, pp. 30-44, 2012
k-Information Gain Scaled Nearest Neighbors: A Novel Approach to Classifying Protein-Protein Interaction-Related Documents
Kyle H. Ambert
,
Aaron M. Cohen
Journal:
IEEE/ACM Transactions on Computational Biology and Bioinformatics - TCBB
, vol. 9, no. 1, pp. 305-310, 2012
A Fuzzy Self-Constructing Feature Clustering Algorithm for Text Classification
(
Citations: 3
)
Jung-Yi Jiang
,
Ren-Jia Liou
,
Shie-Jue Lee
Journal:
IEEE Transactions on Knowledge and Data Engineering - TKDE
, vol. 23, no. 3, pp. 335-349, 2011
Rough set and ensemble learning based semi-supervised algorithm for text classification
(
Citations: 2
)
Lei Shi
,
Xinming Ma
,
Lei Xi
,
Qiguo Duan
,
Jingying Zhao
Journal:
Expert Systems With Applications - ESWA
, vol. 38, no. 5, pp. 6300-6306, 2011