Methods and software for significant indicators determination of the natural language texts author profile

V. Shynkarenko, I.M. Demydovych
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Abstract

Methods for the formation and optimization of author profiles are presented. The author profile is an image – a vector in a multidimensional space, which components are author’s texts measurements by a number of methods based on 4-grams, stemming, recurrence analysis and formal stochastic grammar. The author’s profile is a model of his language, including vocabulary, sentence syntax features. A comparative analysis of each of the methods effectiveness is carried out. By means of the genetic algorithm, a reduced profile of the author is formed. Insignificant indicators are excluded, which allows to reduce their number by 20%. The reduced author’s profile contains attributes that are significant for this author and is an effective attribution of a particular author.
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确定自然语言文本作者简介重要指标的方法和软件
本文介绍了作者简介的形成和优化方法。作者简介是一幅图像--多维空间中的一个矢量,其组成部分是通过基于 4-grams、词干、递归分析和形式随机语法的多种方法测量的作者文本。作者简介是作者的语言模型,包括词汇、句子语法特征。对每种方法的有效性都进行了比较分析。通过遗传算法,形成了一个精简的作者简介。不重要的指标被排除在外,从而使指标数量减少了 20%。缩减后的作者简介包含了对该作者具有重要意义的属性,是对特定作者的有效归属。
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