Division system and method based on social information data

Abstract

The invention discloses a division system based on social information data. The division system comprises: a data acquisition device; a data analysis device which is used for analyzing the social data, obtaining social information and carrying out unique identification; a data deduplication device; a multimedia data conversion device which is used for extracting a link from the multimedia file ofthe social information subjected to duplicate removal; a mass object storage device which is used for storing the de-duplicated social information; a basic data storage device which is used for storing the identifier of the de-duplicated social information; a word segmentation device which is used for dividing the de-duplicated social information into a plurality of keywords; and a full-text retrieval device which is used for summarizing and duplicating the divided keywords and establishing indexes. The invention further discloses a division method based on the social information data. The invention further discloses electronic equipment and a storage medium. According to the invention, the received network information of different social media is classified and displayed according to conditions, so that a user can check the network information of different social media more intuitively.

Description

technical field [0001] The invention relates to the field of computer information technology. More specifically, the present invention relates to a classification system and method based on social information data. Background technique [0002] As of January 2020, the number of Internet users worldwide has reached 4.54 billion. Among them, global social networks represented by WeChat, Weibo, Twitter, Facebook, Instagram and Google+ have formed a cross-border, cross-ethnic, and cross-cultural network of up to 3.8 billion people. Culture's new online community. There are a large number of social network users, and users post a large amount of information every day, and the content of the information is messy and disorderly. How to efficiently divide these massive amounts of information has become a difficult problem. At present, the method of analyzing social information data is to use manual operation to operate a single social app. If you want to know the information of a...

AI Technical Summary

Problems solved by technology

At present, the method of analyzing social information data is to use manual operation to operate a single social app. If you want to know the information of all social apps, you need to retrieve the results on each social app. After the division is completed, integrate and summarize all social apps that meet the division Conditional social information has certain problems: low efficiency: analysts rely on manual operation of a single social application, and cannot divide all the information of multiple social applications, so there is a certain time delay in the integration of the division results. Greatly reduced division efficiency; large division granularity: For the division of social information, the division reference keywords are fixed and single, making the division results fuzzy and imprecise

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