Techniques are described for predicting location information and/or other characteristics of an author of item(s) published on a network, based on one or more tags (e.g., hashtags) that are included in the published item(s). Published items that are geotagged with location information are used to train, using machine learning techniques, a model that predicts the location of the author of non-geotagged item(s) based on the tag(s) included in the non-geotagged item(s). Model(s) may also be trained to predict other characteristics of authors of items. Implementations predict the location, and/or other characteristics, of individuals on networks (e.g., social networks) in instances where location and/or other characteristics are not otherwise known, thus enabling more effective targeting of individuals for marketing, advertising campaigns, and/or other types of influence application that may be performed on the network.
LOCATION PREDICTION BASED ON TAG DATA