A text annotation method, a device, and a storage medium, related to the technical field for emotion recognition in artificial intelligence. The text annotation method comprises: acquiring a first text dataset from a first third-party platform, each piece of text data in the first text dataset comprising an emoji expression; annotating each piece of text data on the basis of the emoji expression of each piece of first text data in the first text dataset to produce a first annotation result for each piece of first text data, the first annotation result comprising a positive comment or a negative comment; producing a first training sample set on the basis of the first annotation result of each piece of first text data; using the first training sample set to train a first neural network; acquiring a second text dataset from a second third-party platform; and using the first neural network to annotate the second text dataset to produce a second annotation result for each piece of second text data in the second text dataset, the second annotation result comprising one of a positive comment, a negative comment, or a neutral comment.
TEXT ANNOTATION METHOD, DEVICE, AND STORAGE MEDIUM