Self-supervised public opinion comment viewpoint object classification method based on comparative learning

A classification method and object category technology, applied in neural learning methods, semantic analysis, natural language data processing, etc., can solve problems such as insufficiently clear words in terms of opinion objects, low classification performance of opinion objects, and lack of key terms in Weibo comments. Achieve the effect of enriching semantic information and improving classification effect
CN114548321APending Publication Date: 2022-05-27KUNMING UNIV OF SCI & TECH
0 Cites 1 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
KUNMING UNIV OF SCI & TECH
Publication Date
2022-05-27

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to a self-supervised public opinion comment viewpoint object classification method based on comparative learning, and belongs to the field of natural language processing. The method comprises the following steps: constructing a data set of microblog comment viewpoint object classification; k-means clustering is carried out on the basis of Word2Vec word vectors, a special self-attention mechanism is fused to obtain vector representation of comments, comment sentence representation is reconstructed, positive and negative examples of comment sentences are constructed through comment sentence word vector representation and sentence representation in the aspect of reconstruction, text features related to comment viewpoint objects are enhanced through a contrastive learning method, and the comment viewpoint objects are obtained. The unrelated distance between the sentences and the non-viewpoint objects is enlarged, so that the comment sentences are deduced and classified through the model. And finally, the comment text is classified into four case aspects: a certain institution, a party, a certain name and others, and support is provided for subsequent microblog comment abstracts.
Need to check novelty before this filing date? Find Prior Art

Description

Technical field

[0001] The invention relates to a self-supervised public opinion comment opinion object classification method based on comparative learning, and belongs to the technical field of natural language processing. Background technique

[0002] Since news can easily attract public attention on the Internet quickly, and people can express their opinions on the news, causing public opinion to spread, news comment summaries help relevant departments to control the overall situation and fully understand the trends of public opinion. All comments are classified by opinion objects. is a critical step in review summarization. The task of categorizing opinion objects plays an important role in the construction of information platforms. It helps relevant staff understand the subjects of case news comments and effectively retrieve all comment parts of the aspects they are interested in. It also provides aspect-level opinion summarization for the downstream tasks of domain pub...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More