公开(公告)号：US20230351212A1

公开(公告)日：2023-11-02

申请号：US17837233

申请日：2022-06-10

Applicant: ZHEJIANG LAB

Inventor： Hongsheng WANG ,  Qing LIAO ,  Hujun BAO ,  Guang CHEN

IPC: G06N5/02

CPC classification number: G06N5/022

Abstract: The disclosure provides a semi-supervised method and apparatus for public opinion text analysis. The semi-supervised method includes: first acquiring a public opinion data set, and preprocessing the data set; performing a data augmentation algorithm on preprocessed samples to generate data augmented samples; generating category labels for the unlabeled samples in the data set in an unsupervised extraction and clustering manner; calculating similarities of word vector latent semantic spaces and performing linear interpolation operation to generate, according to an operation result, similarity interpolation samples; constructing a final training sample set; adopting a semi-supervised method, inputting the final training sample set into a pre-trained language model to train the model to obtain a classification model; and predicting the test set by using the classification model to obtain a classification result.