The invention relates to the field of intelligent decision making, and discloses a text classification method, which comprises the steps of cleaning an original text to obtain a target text, performing word segmentation on the target text to obtain a word segmentation set, extracting a keyword set, and obtaining a position information set and a part-of-speech information set of the keyword set; converting the keyword set, the position information set and the part-of-speech information set into a keyword vector set, a position information vector set and a part-of-speech information vector set,carrying out vector splicing to obtain a target word vector set, identifying semantic information of the target word vector set by utilizing a semantic identification model to obtain a word semantic information set, and identifying the text category of the target text according to the text semantic information of the target text and the word semantic information set. The invention also relates toa blockchain technology, and the target text can be stored in a blockchain node. The invention further provides a text classification device, electronic equipment and a readable storage medium. According to the invention, the text classification accuracy can be improved.