Spatio-temporal mining of keywords for social media cross-social crawling of emergency events
نویسندگان
چکیده
منابع مشابه
Mining Social Network from Spatio-Temporal Events
Knowing patterns of relationship in a social network is very useful for law enforcement agencies to investigate collaborations among criminals, for businesses to exploit relationships to sell products, or for individuals who wish to network with others. After all, it is not just what you know, but also whom you know, that matters. However, finding out who is related to whom on a large scale is ...
متن کاملDiscovering Spatio-temporal Patterns of Themes in Social Media
Social networking website creates new ways for engaging people belonging to different communities, moral and social values to communicate and share valuable knowledge, therefore creating a large amount of data. The importance of mining social media cannot be over emphasized, due to significant information that are revealed which can be applied in different areas. In this paper, a systematic app...
متن کاملfaculty of psychology and social sciences group of anthropology master thesis in major of anthropology
چکیده پایان نامه (شامل خلاصه، اهداف، روش های اجرا و نتایج به دست آمده): کار جمع آوری گو یش های محلی در سال های اخیر شتاب امیدوار کننده ای به خود گرفته است. شاید از بارزترین اهداف جمع آوری گویش های مختلف، ثبت و ضبط آن، جلوگیری از نابودی و مهمتر از همه حل مشکلات دستوری زبان رسمی باشد. دقت در فرآیند های زبانی گویش های محلی نوع ارتباط مردم نواحی مختلف با پیرامون نشان را به ما نشان خواهد داد. از س...
Social Media Mining: Major Concerns in Social Media Mining
Social Media has gained remarkable attention. This is due to the affordability of accessing social network sites such as Twitter, Google+, Facebook and other social network sites. Organizations and people relying on the Social Media for information and opinion of other users on diverse subject matters Online Social Network (OSN) mining has been a active area of research in the current years. Th...
متن کاملSocioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract)
Counting the number of social media posts on a target phenomenon has become a popular method to monitor a spatiotemporal signal. However, such counting is plagued by biased, missing, or scarce data. We address these issues by formulating signal recovery as a Poisson point process estimation problem. We explicitly incorporate human population bias, time delays and spatial distortions, and spatio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: GeoInformatica
سال: 2019
ISSN: 1384-6175,1573-7624
DOI: 10.1007/s10707-019-00354-1