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Evolving text classification rules with genetic programming [PDF]
, 2005 We describe a novel method for using genetic programming to create compact classification rules using combinations of N-grams (character strings). Genetic programs acquire fitness by producing rules that are effective classifiers in terms of precision ...
Anthony N. +14 more
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Multilabel Text Classification Using Multilayer DGAT
IEEE Access, 2022 Text classification is one of the most fundamental tasks in text data analysis. Generally, textual data are extensive in scale and complex in the inherent relationship, leading to low accuracy in traditional classification models.
Hui Chen +4 more
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Appraisal Theories for Emotion Classification in Text
, 2020 Automatic emotion categorization has been predominantly formulated as text classification in which textual units are assigned to an emotion from a predefined inventory, for instance following the fundamental emotion classes proposed by Paul Ekman (fear ...
Hofmann, Jan +3 more
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A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences [PDF]
, 2017 Freedom of Information (FOI) laws legislate that government documents should be opened to the public. However, many government documents contain sensitive information, such as confidential information, that is exempt from release.
García-Pedrajas, Nicolás +3 more
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An Overview of Automatic Text Classification [PDF]
بازیابی دانش و نظامهای معنایی, 2022 Nowadays, various online resources are growing and disseminating rapidly. In order to organize these resources, attempts have been made to use automatic classification, which often uses statistical algorithms and machine learning. Recently, attention has
Reza Dehkhodaie, Atefeh Sharif
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Advances in Mathematical Physics, 2021 As a means of regulating people’s code of conduct, law has a close relationship with text, and text data has been growing exponentially. Managing and classifying huge text data have become a huge challenge.
Jingliang Sun
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Comparative analysis of text classification algorithms for automated labelling of quranic verses [PDF]
, 2017 The ultimate goal of labelling a Quranic verse is to determine its corresponding theme. However, the existing Quranic verse labelling approach is primarily depending on the availability of Quranic scholars who have expertise in Arabic language and ...
Adeleke, Abdullah +3 more
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Search-based short-text classification
Dianzi Jishu Yingyong, 2018 For short-text classification in case the traditional classification algorithm does not work well, this paper proposes a search-based method employing NaiveBayes.
Kang Wei +4 more
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Simple-Random-Sampling-Based Multiclass Text Classification Algorithm
The Scientific World Journal, 2014 Multiclass text classification (MTC) is a challenging issue and the corresponding MTC algorithms can be used in many applications. The space-time overhead of the algorithms must be concerned about the era of big data.
Wuying Liu, Lin Wang, Mianzhu Yi
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IEEE Access, 2020 This study focused on the topic of predicting “proactive personality”. With 901 participants selected by cluster sampling method, targeted short-answer questions text and participants' social media post text (Weibo) were obtained while ...
Peng Wang +6 more
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