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Browsing BS by Author "Alveena Fatima"

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    A comparative thematic analysis of pakistani and indian leaders’ speeches at unga
    (UMT.Lahore, 2023) Alveena Fatima
    Word clouds have evident interactive and attractive visuals along with their statistical data. Aesthetic data visualization and knowledge discover interlink to generate interactive and dynamic word cloud which consists of fascinating, textual, visual and statistical data. The purpose of this research is to produce an interactive word cloud or Cirrus following statistical data to preview the text of Pakistani and Indian speeches. The Cirrus tool helps in the identification of specific words that show the main themes of both Pakistani and Indian corpora. Secondly, it investigates different and similar themes in both Pakistani and Indian leaders' speeches. Thirdly, it reveals major overarching themes of both Pakistani and Indian themes. A mixed method approach is used to generate word cloud and statistical data which are further analyzed and its analysis is derived from Rakesh Aggrawal's Knowledge Discovery Theory (KDD) which inquires interesting and new knowledge patterns. This thematic word cloud reaffirms not only the pre-existing themes but also uncovers other groundbreaking themes. Ongoing study reveals that all cited key themes can be easily pinned from both ample Speeches of Pakistan and India with the help of Cirrus tool. The results discovered the dominant themes which have been portrayed in the word cloud for the readers and viewers are "global vision, unraveling Kashmir mosaic, climate fluctuation, terrorism, Islamophobia and poverty alleviation" that have been discovered as a preview. The findings of this study may help scholars to analyse different themes without thorough reading and analyze the data within seconds. They can use this for comparison of different themes and identify the concepts without spending more time. In future, one can use it for vocabulary learning, connotation of words, and word selection.