Persian Sentiment Analysis

Persian Sentiment Analysis is a task in the field of natural language processing that aims to classify the sentiment polarity of given Persian text. This task identifies and extracts emotional information from the text, categorizing it as positive, negative, or neutral, to evaluate public opinion, user feedback, and market trends, which has significant application value.