Content Details | NUML Online Research Repository

Title Thematic Investigation of sorrows of sarasvati: A Voyant Tools Text Mining Approach in Digital Humanites

Author(s) Shazeb Shafi

Abstract ABSTRACT Title: Thematic Investigation of Sorrows of Sarasvati: A Voyant Tools Text Mining Approach in Digital Humanities This research employed a text mining approach using five (5) computational Voyant Tools, namely the Cirrus tool, Summary Tool, Contexts tool, Trends tool, and Collocates tool, to explore different themes from the translated novel Sorrows of Sarasvati: The Lost River. The novel is a translation of a famous Pakistani writer Mustansar Hussain Tarar’s novel Bahao by Dr. Muhammad Safeer Awan and Dr. Saleem Khan, published in 2021. The research onion of Saunders, Lewis, and Thornhill (2012) was employed as a research methodology to explore novel themes through distant reading. The quantitative results of the study are presented through text mining which consisted of data visualization (Cirrus), the most occurring terms with their statistical frequencies (Summary tool), collocations of the most frequent words (Collocates tool), and graphs of these terms and collocations in ten (10) distinct segments of the novel (Trends tool); whereas the qualitative data constituted of the themes obtained through the analysis of tools mentioned above along with the contexts of most frequent words (Contexts Tool). The findings of text mining of Corpus of Sorrows of Sarasvati: The Lost River revealed data visualization, the most frequent terms with their frequencies, trends and collocations, and nomenclature; while the thematic analysis extracted the themes of nature and wilderness, mystery and unknown, interplay between existence and natural environment, death, loss and sorrow, emotions sensations and nostalgia, transformations in nature and environmental changes, impermanence and transience, journey, human fragility, communication and knowledge, community and shared responsibility, and birds’ anatomy.

Type Thesis/Dissertation MS

Faculty Languages

Department English

Language English

Publication Date 2024-02-15

Subject

Publisher

Contributor(s)

Format

Identifier

Source

Relation

Coverage

Rights