Tweet Geolocation: Leveraging location, user and peer signals
- CHONG, Wen-Haw
- LIM, Ee Peng
DOIAbstract
National Research Foundation, Prime Minister's Office, Singapore under its International Research Centres in Singapore Funding Initiativ
National Research Foundation, Prime Minister's Office, Singapore under its International Research Centres in Singapore Funding Initiativ
Recently, the geolocalisation of tweets has become an important feature for a wide range of tasks in...
Five hundred million tweets are posted daily, making Twitter a major social media platform from whic...
AbstractGiven a tweet, a machine learning model when after undertaking the training, development and...
National Research Foundation, Prime Minister's Office, Singapore under its International Research Ce...
National Research Foundation (NRF) Singapore under International Research Centre @ Singapore Funding...
Singapore National Research Foundation under International Research Centres in Singapore Funding Ini...
National Research Foundation (NRF) Singapore under International Research Centres in Singapore Fundi...
National Research Foundation (NRF) Singapore under International Research Centres in Singapore Fundi...
The problem of fine-grained tweet geolocation is to link tweets to their posting venues. We solve th...
Abstract—Knowing the geo-located venue of a tweet can facili-tate better understanding of a user’s g...
Social media are progressively being employed within the scientific community as key supply of knowl...
Resolving location expressions in text to the correct physical location, also known as geocoding or ...
The increasing popularity of the social networking service, Twitter, has made it more involved in da...
Large quantities of user-generated content (UGC) were produced every moment due to the popularity of...
We propose and evaluate a probabilistic framework for es-timating a Twitter user’s city-level locati...
Recently, the geolocalisation of tweets has become an important feature for a wide range of tasks in...
Five hundred million tweets are posted daily, making Twitter a major social media platform from whic...
AbstractGiven a tweet, a machine learning model when after undertaking the training, development and...
National Research Foundation, Prime Minister's Office, Singapore under its International Research Ce...
National Research Foundation (NRF) Singapore under International Research Centre @ Singapore Funding...
Singapore National Research Foundation under International Research Centres in Singapore Funding Ini...
National Research Foundation (NRF) Singapore under International Research Centres in Singapore Fundi...
National Research Foundation (NRF) Singapore under International Research Centres in Singapore Fundi...
The problem of fine-grained tweet geolocation is to link tweets to their posting venues. We solve th...
Abstract—Knowing the geo-located venue of a tweet can facili-tate better understanding of a user’s g...
Social media are progressively being employed within the scientific community as key supply of knowl...
Resolving location expressions in text to the correct physical location, also known as geocoding or ...
The increasing popularity of the social networking service, Twitter, has made it more involved in da...
Large quantities of user-generated content (UGC) were produced every moment due to the popularity of...
We propose and evaluate a probabilistic framework for es-timating a Twitter user’s city-level locati...
Recently, the geolocalisation of tweets has become an important feature for a wide range of tasks in...
Five hundred million tweets are posted daily, making Twitter a major social media platform from whic...
AbstractGiven a tweet, a machine learning model when after undertaking the training, development and...
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