0


推文地理定位的多指标方法

A Multi-Indicator Approach for Geolocalization of Tweets
课程网址: https://videolectures.net/videos/icwsm2013_schulz_multi_indicator  
主讲教师: Axel Schulz
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2014-04-03
课程语种: 英语
中文简介:
来自推特等微博的实时信息对于市场研究、意见挖掘和危机管理等不同应用都很有用。对于其中许多消息,需要位置信息来获得有用的见解。然而,今天,只有大约1%的推文被明确地标记了地理位置。我们提出了第一种多指标方法,用于确定(1)创建推文的位置以及(2)用户住所的位置。我们的方法基于各种加权指标,包括文本消息中出现的地点名称、专用位置条目以及用户配置文件中的其他信息。评估表明,我们的方法能够定位92%的推文,中位精度低于30km,并预测用户的居住地,中位准确度低于5.1km。凭借这种准确度,我们的方法明显优于现有的工作。
课程简介: Real-time information from microblogs like Twitter is useful for different applications such as market research, opinion mining, and crisis management. For many of those messages, location information is required to derive useful insights. Today, however, only around 1% of all tweets are explicitly geotagged. We propose the first multi-indicator method for determining (1) the location where a tweet was created as well as (2) the location of the user's residence. Our method is based on various weighted indicators, including the names of places that appear in the text message, dedicated location entries, and additional information from the user profile. An evaluation shows that our method is capable of locating 92% of all tweets with a median accuracy of below 30km, as well as predicting the user's residence with a median accuracy of below 5.1km. With that level of accuracy, our approach significantly outperforms existing work.
关 键 词: 实时信息; 危机管理; 地理位置
课程来源: videolectures
数据采集: 2025-05-27:yuhongrui
最后编审: 2025-05-27:yuhongrui
阅读次数: 5