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
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[0042] Example 1: as figure 1 As shown, a self-supervised public opinion comment opinion object classification method based on contrastive learning, the specific steps of the method are as follows:
[0043] Step 1. Use crawler technology to crawl a number of Weibo comments related to cases in recent years, clean and filter the data, and label the test set and validation set to further verify the model performance.
[0044] Step1.1. Use a crawler based on the Scrapy framework to crawl from Sina Weibo about 60 comments on hot cases with fast spreading speed, high attention and high sensitivity;
[0045] Step1.2. Filter and filter the text and comments of Weibo. The methods of filtering and filtering are as follows: (1) Delete the structure similar to “reply @+username” in Weibo comments, and delete irrelevant hyperlink advertisements (2) ), remove the punctuation after the sentence is divided according to the punctuation, use the jieba word segmentation tool to segment the word...
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