Emotion Classification Method of Financial News Based on Artificial Intelligence

With the continuous development of economy, economic model is constantly changing. Especially since China’s entry into WTO, scale has reached a new height. The economy makes financial news module evolve towards specialization. However, with emergence Internet Things technology, large number data appear in network, which brings some difficulties to classification and analysis economy. Emotion refers complexity diversity people’s emotions. It can be classified from different observation angles. Because core content emotion value, human should mainly according characteristics movement change value relationship it reflects. This paper aimed at studying emotional method based on artificial intelligence expecting use technology classify news. allows more people know implied information promotes development. Artificial branch computer science. attempts understand essence produce intelligent machine that respond similar way intelligence. summarizes topic selection subdivision through quantitative qualitative methods explores In this paper, simplified algorithm convolution function proposed for traditional networks. experimental results show accuracy improved by 4% compared method, positive lower than negative 2%.