3 papers
cs.CL2025
Enhanced Sentiment Interpretation via a Lexicon-Fuzzy-Transformer Framework
Shayan Rokhva, Mousa Alizadeh, Maryam Abdollahi Shamami
Accurately detecting sentiment polarity and intensity in product reviews and social media posts remains challenging due to informal and domain-specific language. To address this, w…
cs.CV2025
Artificial Intelligence in the Food Industry: Food Waste Estimation based on Computer Vision, a Brief Case Study in a University Dining Hall
Shayan Rokhva, Babak Teimourpour
Quantifying post-consumer food waste in institutional dining settings is essential for supporting data-driven sustainability strategies. This study presents a cost-effective comput…
cs.CL2025
Enhanced Sentiment Analysis of Iranian Restaurant Reviews Utilizing Sentiment Intensity Analyzer & Fuzzy Logic
Shayan Rokhva, Babak Teimourpour, Romina Babaei
This research presents an advanced sentiment analysis framework studied on Iranian restaurant reviews, combining fuzzy logic with conventional sentiment analysis techniques to asse…