Discussion proportion obtaining method, device, storage medium and electronic equipment

Abstract

The invention provides a discussion proportion obtaining method, a discussion proportion obtaining device, a storage medium and electronic equipment. The method comprises the following steps that: thecontents of a plurality of posts are obtained; word segmentation is performed on the contents of the plurality of posts through a word segmentation model, and each word obtained after word segmentation is matched with a preset classification word packet, so that the type of each word can be obtained, the types of different words are defined in the classification word packet; and a discussion proportion corresponding to each type of word is calculated according to the occurrence of each type of word in the plurality of posts, wherein the discussion proportion is used for representing a ratio of the discussion degree of a target post corresponding to each type to the discussion degree of the plurality of posts. With the method provided by the embodiments of the invention adopted, the postscan be quickly acquired; the contents of the posts can be quickly analyzed; and the discussion proportions of different topic contents in the plurality of posts can be simply and quickly acquired.

Description

technical field [0001] The present application relates to the technical field of data analysis, and in particular, relates to a method, device, storage medium and electronic equipment for obtaining discussion ratios. Background technique [0002] At present, the existing technology can obtain the data of the post by analyzing the uniform resource locator (Uniform Resource Locator, URL) of the third-party platform (such as WeChat, Weibo, etc.), and then the data of the post can be generated into an Excel table, and in the Excel table displays the content, number of reposts, number of comments, number of likes, etc. of the post corresponding to each URL. However, if you need to analyze the popularity of different content in these posts, you need to manually upload the Excel table to the word segmentation model, count the word frequency of each word, and then analyze it. The steps are cumbersome and not easy to count. Contents of the invention [0003] The purpose of the emb...

AI Technical Summary

Problems solved by technology

However, if you need to analyze the discussion popularity of different content in these posts, you need to manually upload the Excel table to the word segmentation model, count the word frequency of each word, and then analyze it. The steps are cumbersome and not easy to count

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