Location prediction on twitter
Witryna3 lut 2024 · The research project scraped 874,588 traffic related tweets in Nairobi, Kenya, applied a machine learning model to capture the occurrence of a crash, and … Witrynainfer Geo-location of a user in Twitter using her publicly available information.” Current solutions either use location indicative factors like toponyms (location names), URLs and time-stamps, extracted from the content of tweets, or leverage the underlying social network graph to design their Geo-location prediction model.
Location prediction on twitter
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Witryna2 lut 2016 · In this paper, we propose a location recognition and prediction system in smartphone environment, which consists of recognizing location and predicting destination for users. It recognizes user location by combining k-nearest neighbor and decision trees, and predicts user destination using hidden Markov models. Witryna2.2 Location Prediction Problems on Twitter In this survey, we focus on predicting three types of Twitter- related locations, namely home location, tweet location, and mentioned location. For each type of location, we give its …
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Witryna1 paź 2024 · The predictor combines mobile-phone and Twitter location data as input variables. • LSTM and VAR models have been tested as candidates to develop the mechanism. • Twitter has proved to be a suitable exogenous input. • The system has been tested in Spain achieving a 6.85 CRMSE for 7-day prediction.
Witryna19 godz. temu · Computational prediction of MHC anchor locations guides neoantigen identification and prioritization Sci Immunol. 2024 Apr 14;8(82): eabg2200. ... By incorporating our anchor prediction results into neoantigen prediction pipelines, we hope to formalize, streamline, and improve the identification process for relevant …
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