Sentiment classification of financial social media text

It is a financial social media text sentiment classification dataset. Given financial social media text, the model needs to classify the sentiment of the text into negative-neutral positive categories, with evaluation measured by accuracy. It is sourced from posts by stockhold ers and bloggers on the Stockbar and Xueqiu websites, categorized as “积极 (positive)”, “中性 (neutral)”, and “消极 (negative)”.