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(2290) CRITICAL ANALYSIS OF THEMATIC STRUCTURES THROUGH TOPIC MODELING AND XML SCHEMAS

机译:(2290)通过主题建模和XML模式对主题结构的关键分析

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XML schemas can be used as a method to represent the logical and thematic structure of a text. It is a very useful tool both for teachers and students interested in textual criticism. As a representation, an XML schema is the result of the critic’s own perception about what is the meaning of the text, and how that meaning has taken a specific linguistic form. Traditional textual analysis, follows a qualitative approach, where knowledge about the text equals to the critic’s personal view on both existent literature about the text, and the text itself. This personal view is usually conveyed through a scientific paper, a talk at a conference or the like. However, such a representation, is bound to be challenged by other critic’s visions and eventually modified. While I respect that way of studying texts in which myself have been raised; what I present here is a (maybe not so) subtle modification of it. Adding the power of quantitative analysis to the equation by means of a topic modeling algorithm, it rises up a strong data-based vision of the textual lexical and syntactical structure. But the results given by the use of topic models are somewhat fuzzy. The visual representations generated by them must be properly filtered and tagged by a human, in order for true knowledge, to be produced. In this sense, an XML schema provides a most exciting boot camp, in which both teacher and student can improve their abilities to sum up data and extract a single vision from multiple possibilities. Here I present part of the results of my dissertation research on Information Retrieval (IR) methods applied to Ancient Greek texts. XML coding and topic models revealed themselves to be quite powerful tools when combined. As such, I propose an example of real use in an educational context.
机译:XML模式可以用作表示文本的逻辑和主题结构的方法。对于教师和学生对文本批评感兴趣的学生来说,这是一个非常有用的工具。作为一个表示,XML模式是评论家对文本的含义的自身看法的结果,以及如何涉及特定语言形式的意义。传统的文本分析,遵循一种定性的方法,其中关于文本的知识等于评论家对批评文本和文本本身的存在文学的个人观点。这种个人观点通常通过科学论文,在会议等中进行谈话。然而,这样的代表必将受到其他评论家的差异的挑战,并最终修改。虽然我尊重学习自己被提出的文本的方式;我在这里呈现的是(也许不是那么)微妙的修改。通过主题建模算法将定量分析的功率添加到方程中,它升高了文本词汇和语法结构的强大数据视觉。但是使用主题模型给出的结果有些模糊。由它们生成的视觉表示必须被人类正确过滤和标记,以便生成真正的知识。从这个意义上讲,XML架构提供了一个最令人兴奋的启动阵营,其中教师和学生可以提高他们总结数据的能力并从多种可能性中提取单一视觉。在这里,我提出了我对应用于古希腊文本的信息检索(IR)方法的论文研究结果。 XML编码和主题模型显示它们在组合时具有相当强大的工具。因此,我提出了一个实际用途的示例在教育背景下。

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