Results 61 to 70 of about 4,729 (190)
University of Twente at GeoCLEF 2006: geofiltered document retrieval [PDF]
, 2006 In this report we describe the approach of the University of Twente to the 2006 Geo-CLEF task. It is based on retrieval by content and the subsequent filtering by geographical relevance utilizing a gazetteer.
Hauff, Claudia +2 more
core +2 more sources
Ecology Letters, Volume 29, Issue 2, February 2026.Mosquito‐borne diseases are increasing globally, driven by the expanding range of invasive vectors, yet the mechanisms of their spread remain poorly understood. Using 20 years of invasion data from Spain, we combine high‐resolution human mobility data with a metapopulation model to study the colonisation dynamics of Aedes albopictus.
Marta Pardo‐Araujo +3 more
wiley +1 more source
Engineering, 2018 Geotagging is the process of labeling data and information with geographical identification metadata, and text mining refers to the process of deriving information from text through data analytics. Geotagging and text mining are used to mine rich sources
Wai K. Chong +4 more
doaj +1 more source
GeoIntelligence: Data Mining Locational Social Media Content for Profiling and Information Gathering [PDF]
, 2011 The current social media landscape has resulted in a situation where people are encouraged to share a greater amount of information about their day-to-day lives than ever before.
Baatard, Gregory, Hannay, Peter
core +1 more source
Exploring Social Media for Event Attendance [PDF]
, 2017 Large popular events are nowadays well reflected in social media fora (e.g. Twitter), where people discuss their interest in participating in the events.
de Lira, Vinicius Monteiro +5 more
core +1 more source
Behavior Identification Based on Geotagged Photo Data Set [PDF]
The Scientific World Journal, 2014 The popularity of mobile devices has produced a set of image data with geographic information, time information, and text description information, which is called geotagged photo data set. The division of this kind of data by its behavior and the location not only can identify the user’s important location and daily behavior, but also helps users to ...
Guo-qi Liu +3 more
openaire +3 more sources
Transactions in GIS, Volume 30, Issue 1, February 2026.ABSTRACT This research provides new directions in conceptualizing emotional geographies at the landscape level using a combination of textual deep learning (DL) and GPT‐based spatial emotion detection and interpolation using 3D empirical Bayesian kriging.
Christopher J. Anderson
wiley +1 more source
, 2009 El informe anual Horizon investiga, identifica y clasifica las tecnologías emergentes que los expertos que lo elaboran prevén tendrán un impacto en la enseñanza aprendizaje, la investigación y la producción creativa en el contexto educativo de la ...
Johnson, L., Levine, A., Smith, R.
core +1 more source
Analyzing the Language of Food on Social Media
, 2014 We investigate the predictive power behind the language of food on social media. We collect a corpus of over three million food-related posts from Twitter and demonstrate that many latent population characteristics can be directly predicted from this ...
Bell, Dane +4 more
core +1 more source
Can Geotags Help Image Recognition? [PDF]
, 2009 In this paper, we propose to exploit geotags as additional information for visual recognition of consumer photos to improve its performance. Geotags, which represent places where the photos were taken, for photos can be obtained automatically by carrying a portable small GPS device with digital cameras.
Keita Yaegashi, Keiji Yanai
openaire +1 more source