A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Microblog User Geolocation by Extracting Local Words Based on Word Clustering and Wrapper Feature Selection
2020
KSII Transactions on Internet and Information Systems
Existing methods always rely on statistical features to extract local words for microblog user geolocation. There are many non-local words in extracted words, which makes geolocation accuracy lower. Considering the statistical and semantic features of local words, this paper proposes a microblog user geolocation method by extracting local words based on word clustering and wrapper feature selection. First, ordinary words without positional indications are initially filtered based on statistical
doi:10.3837/tiis.2020.10.003
fatcat:wrkmxvxm2naplmqquelpdvffie