منابع مشابه
Dr. Abdur Chowdhury serves as Twitter’s Chief Scientist. Prior to that, Dr. Chowdhury co-founded Summize, a real-time search engine sold to Twitter in 2008. Dr. Chowdhury has held positions at AOL as their Chief Architect for Search, Georgetown’s Computer Science Department and University of Maryland’s Institute for Systems Research. His research interest lays in Information Retrieval focusing ...
متن کاملStreaming@Twitter
Twitter generates tens of billions of events per hour when users interact with it. Analyzing these events to surface relevant content and to derive insights in real-time is a challenge. To address this, we developed Heron, a new real time distributed streaming engine. In this paper, we first describe the design goals of Heron and show how the Heron architecture achieves task isolation and resou...
متن کاملTadvise: A Twitter Assistant Based on Twitter Lists
Micro-blogging is yet another dynamic information channel where the user needs assistance to manage incoming and outgoing information streams. In this paper, we present our Twitter assistant called Tadvise that aims to help users to know their followers / communities better. Tadvise recommends well-connected topic-sensitive followers, who may act as hubs for broadcasting a tweet to a larger rel...
متن کاملUniversity Twitter Engagement: Using Twitter Followers to Rank Universities
We examine and rank a set of 264 U.S. universities extracted from the National Collegiate Athletic Association (NCAA) Division I membership and global lists published in U.S. News, Times Higher Education, Academic Ranking of World Universities, and Money Magazine. Our University Twier Engagement (UTE) rank is based on the friend and extended follower network of primary and afliated secondary ...
متن کاملTwitter Based System: Using Twitter for Disambiguating Sentiment Ambiguous Adjectives
In this paper, we describe our system which participated in the SemEval 2010 task of disambiguating sentiment ambiguous adjectives for Chinese. Our system uses text messages from Twitter, a popular microblogging platform, for building a dataset of emotional texts. Using the built dataset, the system classifies the meaning of adjectives into positive or negative sentiment polarity according to t...
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ژورنال
عنوان ژورنال: Revista Colombiana de Anestesiología
سال: 2010
ISSN: 0120-3347
DOI: 10.1016/s0120-3347(10)84011-0