CNN-NLP Based Persian Feedback Detection of Stock Symbols in the Stock Market

using feedback related to the stock market in the Persian language is a great way to find the state of a symbol in a stock market. This article presents an innovative approach to detecting and categorizing feedback in Persian texts using a combination of Convolutional Neural Networks (CNN) and Natural Language Processing (NLP). Our focus in this research is on identifying stock symbols and analyzing multiple pieces of feedback related to them in the Persian stock market texts. Our goal is to detect and categorize Persian feedback related to stock symbols, thereby providing valuable insights for investors and analysts in the Persian stock market.