Pragmatics and Sentiment Analysis: Using AI to Document Cultural Variations in Pakistani Languages

This research article explores the intersection of pragmatics and sentiment analysis, focusing on the application of artificial intelligence (AI) to document cultural variations in Pakistani languages. With over 70 languages spoken across Pakistan, each embodying unique cultural nuances, understanding sentiment requires more than traditional linguistic analysis. This paper examines how AI-driven models can be tailored to capture the pragmatic subtleties of Pakistani languages, thus providing insights into cultural diversity and communication patterns.

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Publication Details

Journal
˜The œcritical review of social sciences studies
Published
2025-02-05
DOI
https://doi.org/10.59075/ftp6mj96
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Pragmatics and Sentiment Analysis: Using AI to Document Cultural Variations in Pakistani Languages

Noor-ul Ain, Sumaira Saleem, Zafar Iqbal Bhatti
˜The œcritical review of social sciences studies
Hate Speech and Cyberbullying Detection
article

Pragmatics and Sentiment Analysis: Using AI to Document Cultural Variations in Pakistani Languages

Noor-ul Ain, Sumaira Saleem, Zafar Iqbal Bhatti
article en

Abstract

This research article explores the intersection of pragmatics and sentiment analysis, focusing on the application of artificial intelligence (AI) to document cultural variations in Pakistani languages. With over 70 languages spoken across Pakistan, each embodying unique cultural nuances, understanding sentiment requires more than traditional linguistic analysis. This paper examines how AI-driven models can be tailored to capture the pragmatic subtleties of Pakistani languages, thus providing insights into cultural diversity and communication patterns.

˜The œcritical review of social sciences studiesVol. 3(1)
COMSATS University Islamabad (PK), Minhaj University Lahore (PK)
Quality Education
Openalex Percentile: Top 99%
Hate Speech and Cyberbullying Detection
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