Born in Lahore (Pakistan) in 1984, He received his high school diploma through an external
exam. And studied at the University of Punjab for his first B.A. degree in English Literature
in 2008. Moving on, he did his second bachelor's in library and information sciences in 2011.
And he was the POINEER intern who did his internship at the Children Library Complex,
which is the one and only specific library for children in Pakistan. However, after his first
degree, he got an opportunity to get training with a British Council trainer in his city (Lahore),
where he had learned language teaching skills at Lingua Speaks from 2009 to 2010.
Furthermore, he joined Lahore Leads University for his Master's program in Linguistics and
Literature. He got his second master's degree with thesis work on phonological patterns in
2015. Between 2010 and 2017, he taught in many private organizations, including PICIT
Computer College, where he was a spoken English teacher for more than 4 years. However,
his
EDUCATION
Master in English Language Teaching
RESEARCH, TEACHING, or OTHER INTERESTS
Language and Linguistics, Education, Linguistics and Language, Arts and Humanities
1
Scopus Publications
Scopus Publications
Sentiment analysis of user reviews: exploring Duolingo and Babbel in English language learning Husnat Ahmed Tabssam, Saima Akhtar Chattha, Muhammad Farooq Javeed, Ali Hayat Frontiers in Computer Science, 2025 This study investigates the dynamics of user feedback for two prominent mobile language learning applications, Babbel and Duolingo, through the lenses of Dynamic Systems Theory (DST) and Sociocultural Theory (SCT). By employing a mixed-methods approach that integrates sentiment analysis, network analysis, and linguistic features analysis, a dataset of 190 user reviews for each application collected from app review platforms has been analysed. The research reveals distinct sentiment clusters, network metrics, and user engagement patterns, highlighting how sociocultural factors and user experiences shape perceptions of app functionality and effectiveness. Findings indicate that Duolingo users predominantly appreciate the gamified elements and simplicity of lessons, while Babbel users emphasize structured methodologies and cultural context. The application of network analysis using Gephi software elucidates the interconnectedness of user sentiments, identifying influential nodes and feedback trends that inform app design and development. This study contributes to the field of applied linguistics by demonstrating the potential of user feedback to enhance the usability and pedagogical efficacy of language learning technologies, ultimately advocating for a more learner-centered approach in the design of educational tools. The insights garnered from this research not only bridge the gap between linguistic theory and technological application but also underscore the importance of integrating user perspectives in the continuous evolution of language learning platforms.
