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Document Embedding Approach for Efficient Authorship Attribution
(IEEE, 2017)
Authorship attribution has been well studied in terms of text classification with many diverse feature sets. However, finding topic independent features is hard and trained models with hand crafted features in one domain ...
Classification of Medical Documents According to Diseases
(IEEE, 2015)
Medical text classification is still one of the popular research problems inside text classification domain. Apart from some text data compiled from hospital records, most of the researchers in this field evaluate their ...
On Two-Stage Feature Selection Methods for Text Classification
(IEEE-Inst Electrical Electronics Engineers Inc, 2018)
Text classification is a high dimensional pattern recognition problem where feature selection is an important step. Although researchers still propose new feature selection methods, there exist many two-stage feature ...
An improved global feature selection scheme for text classification
(Pergamon-Elsevier Science LTD, 2016)
Feature selection is known as a good solution to the high dimensionality of the feature space and mostly preferred feature selection methods for text classification are filter-based ones. In a common filter-based feature ...
Bucketed common vector scaling for authorship attribution in heterogeneous web collections: A scaling approach for authorship attribution
(SAGE Publications LTD, 2019)
Domain, genre and topic influences on author style adversely affect the performance of authorship attribution (AA) in multi-genre and multi-domain data sets. Although recent approaches to AA tasks focus on suggesting new ...
A novel probabilistic feature selection method for text classification
(Elsevier Science BV, 2012)
High dimensionality of the feature space is one of the most important concerns in text classification problems due to processing time and accuracy considerations. Selection of distinctive features is therefore essential ...
Hybrid feature selection for text classification
(Tubitak Scientific & Technical Research Council Turkey, 2012)
Feature selection is vital in the field of pattern classification due to accuracy and processing time considerations. The selection of proper features is of greater importance when the initial feature set is considerably ...
Text classification using genetic algorithm oriented latent semantic features
(Pergamon-Elsevier Science LTD, 2014)
In this paper, genetic algorithm oriented latent semantic features (GALSF) are proposed to obtain better representation of documents in text classification. The proposed approach consists of feature selection and feature ...
On feature weighting and selection for medical document classification
(Springer Verlag, 2018)
Medical document classification is still one of the popular research problems inside text classification domain. In this study, the impact of feature selection and feature weighting on medical document classification is ...
Classification of medical documents according to diseases [Tibbi dokümanlarin hastaliklara göre siniflandirilmasi]
(Institute of Electrical and Electronics Engineers Inc., 2015)
Medical text classification is still one of the popular research problems inside text classification domain. Apart from some text data compiled from hospital records, most of the researchers in this field evaluate their ...