遇见数据集

Social media related transit reviews

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Mendeley Data2024-01-31 更新2024-06-27 收录
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With the rapid development of web, 2.0, social media has gained tremendous improvement in user-generated content all over the world. Transportation organization raises the economic growth on influencing the well-being of users using social media as a platform, who shares their opinions; access the employment, services, and social connections. Transportation stakeholders not only forecast the ups and downs occurring in the transportation domain but also understand the customer's expectations and needs in terms of quality of services on exploring the reasons for facing dissatisfaction. Transportation-related data in social media has gained significant importance in transportation research.Tweets are accumulated using the Twitter Streaming API from @RailMinIndia. Around 11000 tweets were extracted from the transportation dataset of Twitter through streaming Twitter API @RailMinIndia during 2017 over a period of 30 day’s time frame.

随着Web 2.0的快速发展,全球范围内社交媒体平台的用户生成内容(User-Generated Content, UGC)实现了长足进步。交通机构以社交媒体为平台,依托分享观点、获取就业资源、服务与社交联结的用户群体,不仅可促进经济增长,同时也对用户福祉产生影响。交通利益相关方不仅能够预判交通领域的兴衰波动,还可通过剖析用户不满的成因,了解其对服务质量的期待与需求。社交媒体中的交通相关数据,目前已在交通研究领域具备重要地位。本次研究的推文通过针对@RailMinIndia账号的推特流式API(Twitter Streaming API)采集得到。2017年,研究人员于30天的时间跨度内,通过该API从该账号的推特交通相关数据集中共提取约11000条推文。

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2024-01-31
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数据集介绍
Social media related transit reviews 数据集图片
背景与挑战
背景概述
该数据集是一个关于社交媒体交通评论的集合,主要通过Twitter API从@RailMinIndia采集了2017年30天内的约11000条推文,用于分析交通领域的用户意见和服务质量。数据集以Excel文件形式提供,适用于交通研究和社交媒体分析,采用CC BY 4.0开放许可证。
以上内容由遇见数据集搜集并总结生成
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