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Title
Unveiling Knowledge Patterns in Intermediate English Textbooks through Voyant Text Mining Tools: A Digital Humanities Study
Author(s)
Mr. Zafar Ullah
Abstract
ABSTRACT Thesis Title: Unveiling Knowledge Patterns in Intermediate English Textbooks through Voyant Text Mining Tools: A Digital Humanities Study The contemporary digital era faces the challenge of extracting knowledge patterns from big diversified data which are difficult to read with the traditional “close reading” method. Likewise, traditional paper textbooks are considered inadaptable and less appealing, so their reading becomes uninteresting, time-consuming and less knowledge- investigative. This dissertation on text mining primarily aims to discover interactive knowledge patterns, innovative and idiosyncratic knowledge bearing dimensions through “distant reading”. To address the research problem, intermediate English textbooks have been analysed with five Voyant tools: Summary, Cirrus, Phrases, Links and Contexts. The main focus of the analysis is the transformation of static traditional Pakistani intermediate English textbooks into interactive data visuals of Summary, Cirrus, Phrases, Links and Contexts. Theoretical triangulation integrates Knowledge Discovery Theory and Hermeneutica Theory. Accordingly, the textbooks have been analysed with mixed methods to explore new interactive knowledge patterns. Results have been displayed in the form of data visualization, tabular, qualitative and quantitative data. The current research finds that Summary tool precisely quantifies stylometric features of total words, unique words, vocabulary density, average sentence length and the most frequent themes in each piece of writing. Cirrus discovers most of the key themes and characters. Phrases tool extracts 168 which are the most repeated standard collocation patterns. It was also found that Links tool interrelates almost all key ideas with one another through accurate Knowledge Graphs. Further, Context’s tool disambiguates word sense by discriminating their context, contextual meanings and parts of speech. The current study contributes by resolving the research problem, saving time with distant reading and adding aesthetic appeal for Voyant users. Finally, pedagogical implications of the current study introduce autonomous learning and teaching of textbooks, corpus building, visual generation, interesting knowledge pattern discovery and the data unification for libraries. Moreover, the current study also diverts students, teachers and publishers to digital text mined learning, teaching and publishing.
Type
Thesis/Dissertation PhD
Faculty
Languages
Department
English
Language
English
Publication Date
2022-01-31
Subject
English Linguistics
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bab010aed2.pdf
2022-02-23 18:01:54
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