A CORPUS BASED ANALYSIS OF THE USE OF MODIFIERS IN PAKISTANI EDUCATIONAL AND POLITICAL TWEETS

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Published Jan 6, 2024
https://doi.org/10.61866/jt.v6i4.1024
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Vol. 6 No. 4 (2023): Jahan-e-Tahqeeq

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GULZAR FATIMA,DR. MAIMOONA ABDULAZIZ,SHAHZEELA KHIZAR
NUML Faisalabad

Abstract

This study investigates the use of adjectives in tweets related to education and politics in Pakistan, employing corpus analysis to delve into language patterns within these specific contexts. Using the Corpus of Pakistani Social Media (COPSM), comprising tweets from the year 2023, the research focuses on 500 educational tweets (69,645 words) and 500 political tweets (62,376 words), totaling 132,021 words. The analysis goes beyond basic adjectives, encompassing comparative (JJR) and superlative (JJS) adjectives. To identify and extract adjectives accurately, a part-of-speech tagger was utilized on COPSM data. Further investigation and comprehension of adjective usage involved employing AntConc3.4.4. The findings highlight distinct patterns in how various types of adjectives are employed in educational versus political tweets. This research contributes to understanding language use in social media discourse concerning education and politics in Pakistan, offering insights into the nuanced ways adjectives shape communication in these domains.               

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