Social media information emotion detection method based on multi-modal fusion

The invention discloses a social media information emotion detection method based on multi-modal fusion, and the method comprises the steps: obtaining an information record from an Internet platform, and the information record comprises text information and image information; acquiring multiple pieces of feature information from the information record; performing feature fusion on the multiple pieces of feature information to obtain fused features; and judging the type of the information record according to the fusion feature. According to the social media information emotion detection method based on multi-modal fusion, the mutual relation between the words of the text part of the information record is concerned, so that emotion detection of the information record is more accurate. 本发明公开了一种基于多模态融合的社交媒体信息情感检测方法，包含：从互联网平台获取信息记录，信息记录包含文本信息和图像信息；从信息记录中获取多个特征信息；对多个特征信息进行特征融合得到融合特征；根据融合特征判断信息记录的种类。本发明的基于多模态融合的社交媒体信息情感检测方法，关注了信息记录的文本部分的单词与单词之间的相互关系，使得对于信息记录的情感检测更为准确。