Text2Price: Adeep Learning Model for Predicting Electronic Product Prices from Descriptive Text Sequences
Nashwan Al-Majmar,
Akram Alsubari,
waheeb Al Marhabi
Abstract:This study investigates deep learning models for predicting electronic product prices through text sequence (Text2Price). The study examined the performance of these models in terms of price prediction, the factors influencing predictions, the model's comprehension of numerical and expressive text, and the efficacy of the developed price prediction model. The primary aim is to create a model skilled at forecasting product prices using textual sequences containing product names, brands, and features. Methodolog… Show more
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