Where Are You Settling Down: Geo-locating Twitter Users Based on Tweets and Social Networks
نویسندگان
چکیده
Time Description of activity 8:30-18:00 Conference Registration 9:10-9:30 Conference opening 9:30-10:30 Keynote Speaker1:Norbert Fuhr, University of Duisburg-Essen 10:30-11:00 Coffee break Session 1: Evaluation and user studies 11:00-11:30 The Reusability of a Diversified Search Test Collection 11:30-12:00 One Click One Revisited: Enhancing Evaluation based on Information Units 12:00-12:30 A Comparison of Action Transitions in Individual and Collaborative Exploratory Web Search 12:30-14:00 Lunch Session 2: NLP for IR 14:00-14:30 Query-oriented Keyphrase Extraction 14:30-15:00 Using Lexical and Thematic Knowledge for Name Disambiguation 15:00-15:30 Sells Out or Piles Up? A Sentiment Autoregressive Model for Predicting Sales Performance 15:30-16:00 Coffee break Session 3: Machine learning and datamining 16:00-16:30 Are Human-input Seeds good enough for Entity Set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge 16:30-17:00 Combining Modifications to Multinomial Naive Bayes for Text Classification 17:00-17:30 Organizing Information on the Web through Agreement-Conflict Relation Classification 19.00-21:00 Welcome reception
منابع مشابه
Discover Patterns and Mobility of Twitter Users - A Study of Four US College Cities
Geo-tagged tweets provide useful implications for studies in human geography, urban science, location-based services, targeted advertising, and social network. This research aims to discover the patterns and mobility of Twitter users by analyzing the spatial and temporal dynamics in their tweets. Geo-tagged tweets are collected over a period of six months for four US Midwestern college cities: ...
متن کاملDetection of Twitter Users' Attitudes about Flu Vaccine based on the Content and Sentiment Analysis of the Sent Tweets
Introduction: The influenza vaccine is one of the controversial challenges in today's societies. Considering the importance of using the flu vaccine in preventing the spread of influenza virus, the Twitter network, as a rich source of data, provides suitable conditions for research in this field to examine the attitudes of different people about this vaccine. The results in one hand will help h...
متن کاملDetection of Twitter Users' Attitudes about Flu Vaccine based on the Content and Sentiment Analysis of the Sent Tweets
Introduction: The influenza vaccine is one of the controversial challenges in today's societies. Considering the importance of using the flu vaccine in preventing the spread of influenza virus, the Twitter network, as a rich source of data, provides suitable conditions for research in this field to examine the attitudes of different people about this vaccine. The results in one hand will help h...
متن کاملA High-Performance Model based on Ensembles for Twitter Sentiment Classification
Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...
متن کاملDetecting Non-personal and Spam Users on Geo-tagged Twitter Network
With the rapid growth and popularity of mobile devices and location-aware technologies, online social networks such as Twitter have become an important data source for scientists to conduct geo-social network research. Non-personal accounts, spam users and junk tweets, however, pose severe problems to the extraction of meaningful information and the validation of any research findings on tweets...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012