The invention discloses an early Alzheimer's disease diagnosis system based on artificial intelligence. The method obtains a text reading record, automatically translates the text reading record intoa text through an ASR program, and processes the text according to the following NLP processing new algorithm to determine whether the user has AD. Compared with the traditional NLP algorithm, the newalgorithm separately obtains the feature sets of the AD group and the healthy person group, and performs the set operation on the feature sets, realizes the effective dimension reduction of the features, can improve the recognition accuracy of the model, reduces the requirements of the algorithm for memory space, and speeds up the operation. The method can be applied to a computer terminal or a mobile terminal, and the user only needs to follow the prompt for a few minutes, without the intervention analysis of a professional doctor, the machine can give a judgment of whether the user has AD through artificial intelligence. The method does not cause trauma to the human body, has low cost, is fast in diagnosis, is easy to use, is an effective technical means for large-scale screening of early AD.