A hybrid dependency-based approach for Urdu sentiment analysis

• Published in: Scientific reports Vol. 13; no. 1; p. 22075
• Main Authors: Sehar, Urooba, Kanwal, Summrina, Allheeib, Nasser I., Almari, Sultan, Khan, Faiza, Dashtipur, Kia, Gogate, Mandar, Khashan, Osama A.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 12.12.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/117; 639/705/258; Datasets; Humanities and Social Sciences; Language; multidisciplinary; Neural networks; Science; Science (multidisciplinary); Sentiment analysis; Social networks; Urdu language

In the digital age, social media has emerged as a significant platform, generating a vast amount of raw data daily. This data reflects the opinions of individuals from diverse backgrounds, races, cultures, and age groups, spanning a wide range of topics. Businesses can leverage this data to extract...