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11
Tweecalization
Location Mining Using
Semisupervised Learning
11.1 INTRODUCTION
In Chapter 9, we discussed the importance of location mining and the challenges we are faced with
in extracting the accurate locations of social media users. In Chapter 10, we discussed our collec-
tion of TweetHood algorithms for extracting the location of Twitter users. In particular, we have
described three methods that show the evolution of the algorithm currently used in TweetHood.
These algorithms are as follows: (i) a simple majority algorithm with variable depth, (ii) k closest
friends with variable depth, and (iii) fuzzy k closest friends with variabl ...