On analyzing geotagged tweets for location-based patterns
Geotagged social media is becoming highly popular as social media access is now made very easy through a wide range of mobile apps which automatically detect and augment social media posts with geo-locations. In this paper, we analyze two kinds of location-based patterns. The first is the associatio...
Saved in:
Main Authors: | PRASETYO, Philips Kokoh, ACHANANUPARP, Palakorn, LIM, Ee Peng |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3552 https://ink.library.smu.edu.sg/context/sis_research/article/4553/viewcontent/Geotagged_Tweets_lbp_pv_oa.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Topic discovery from tweet replies
by: DAI, Bingtian, et al.
Published: (2012) -
Crowdsensing and analyzing micro-event tweets for public transportation insights
by: HOANG, Thoong, et al.
Published: (2017) -
A business zone recommender system based on Facebook and urban planning data
by: LIN, Jovian, et al.
Published: (2016) -
Tweet Geolocation: Leveraging location, user and peer signals
by: CHONG, Wen-Haw, et al.
Published: (2017) -
Exploiting contextual information for fine-grained tweet geolocation
by: CHONG, Wen Haw, et al.
Published: (2017)