Enhancing Aspect-Based Sentiment Analysis with ParsBERT in Persian Language
Published in Journal of AI & Data Mining, 2024
This study investigates aspect-based sentiment analysis of Persian product reviews from Digikala. It combines ParsBERT with a supporting lexicon and evaluates the approach in a setting with limited Persian-language resources. The work examines how model and lexical information can support the identification of sentiments expressed about particular product aspects.
Ariai, F., Tayefeh Mahmoudi, M., & Moeini, A. (2024). Enhancing Aspect-Based Sentiment Analysis with ParsBERT in Persian Language. Journal of AI & Data Mining, 12(1), 1–14. doi:10.22044/jadm.2023.13666.2482