互联网用户关注点的抽取方法及装置

By acquiring identifiers of public opinion events or news, processing user comments, and using dependency parsing and clustering algorithms to extract internet users' concerns, this technology solves the problem of effectively extracting user concerns in existing technologies, and achieves timely and accurate acquisition and rapid response to user concerns.

CN115757920BActive Publication Date: 2026-07-17BEIJING BAIDU NETCOM SCI & TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING BAIDU NETCOM SCI & TECH CO LTD
Filing Date
2022-11-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies lack effective means to extract the focus of internet users, making it impossible to understand users' main concerns in public opinion events or news in a timely and accurate manner.

Method used

By acquiring the identification information of the target public opinion event or news, obtaining user comment information, performing preprocessing, determining candidate points of interest based on dependency parsing, and then aggregating and processing them through clustering algorithms to obtain the points of interest of Internet users.

Benefits of technology

It enables timely and accurate identification of internet users' key concerns, providing crucial information for targeted handling of internet user relationship issues and supporting rapid response.

✦ Generated by Eureka AI based on patent content.

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Abstract

本公开提供了一种互联网用户关注点的抽取方法及装置,涉及人工智能领域,具体涉及自然语言处理、深度学习技术,可应用在智慧城市、智慧政务和舆情分析场景下。具体实现方案为:获取目标舆情事件和 / 或目标舆情新闻的标识信息;根据标识信息,获取互联网用户对目标舆情事件和 / 或目标舆情新闻的评论信息;对评论信息进行预处理,获得子评论信息;基于依存句法分析,将满足目标句法结构的子评论信息确定为候选关注点;对候选关注点进行聚合处理,获取互联网用户关注点。本公开可以有效在第一时间及时且准确地获取在舆情事件或舆情新闻中互联网用户的主要关注点。
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