Data-driven exploration of real-time geospatial text streams

Harald Bosch, Robert Krüger, Dennis Thom

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Geolocated social media data streams are challenging data sources due to volume, velocity, variety, and unorthodox vocabulary. However, they also are an unrivaled source of eye-witness accounts to establish remote situational awareness. In this paper we summarize some of our approaches to separate relevant information from irrelevant chatter using unsupervised and supervised methods alike. This allows the structuring of requested information as well as the incorporation of unexpected events into a common overview of the situation. A special focus is put on the interplay of algorithms, visualization, and interaction.

    Original languageEnglish (US)
    Title of host publicationMachine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Proceedings
    EditorsBianca Zadrozny, Francesco Bonchi, Bianca Zadrozny, Jaime Cardoso, Francesco Bonchi, Ricard Gavalda, Francesco Bonchi, Myra Spiliopoulou, Ricard Gavalda, Dino Pedreschi, Jaime Cardoso, Myra Spiliopoulou, Jaime Cardoso, Dino Pedreschi, Francesco Bonchi, Albert Bifet, Dino Pedreschi, Albert Bifet, Bianca Zadrozny, Myra Spiliopoulou, Dino Pedreschi, Myra Spiliopoulou, Michael May, Michael May, Albert Bifet, Ricard Gavalda, Albert Bifet, Michael May, Bianca Zadrozny, Michael May, Jaime Cardoso, Ricard Gavalda
    PublisherSpringer Verlag
    Pages203-207
    Number of pages5
    ISBN (Print)9783319234601, 9783319234601, 9783319234601, 9783319234601
    DOIs
    StatePublished - 2015
    EventEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2015 - Porto, Portugal
    Duration: Sep 7 2015Sep 11 2015

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9286
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    ConferenceEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2015
    Country/TerritoryPortugal
    CityPorto
    Period9/7/159/11/15

    Keywords

    • Machine learning
    • Social media
    • Stream processing

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

    Fingerprint

    Dive into the research topics of 'Data-driven exploration of real-time geospatial text streams'. Together they form a unique fingerprint.

    Cite this