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Showing 1 to 5 of 5 for “"Dynamic Query Expansion"”.

  1. Augmenting Dynamic Query Expansion in Microblog Texts

    Dynamic query expansion is a method of automatically identifying terms relevant to a target domain based on an incomplete query input. With the explosive growth of online media, such tools are essential for efficient search result refining to track emerging themes in noisy, unstructured text …

    vt Repository record for Augmenting Dynamic Query Expansion in Microblog Texts (opens in a new tab)

  2. Spatio-temporal Event Detection and Forecasting in Social Media

    … assumptions. Five methods are proposed, namely dynamic query expansion for event detection, a generative framework for event forecasting, multi-task learning for spatiotemporal event forecasting, multi-source spatiotemporal event forecasting, and deep learning based epidemic modeling for …

    vt Repository record for Spatio-temporal Event Detection and Forecasting in Social Media (opens in a new tab)

  3. Detecting Public Transit Service Disruptions Using Social Media Mining and Graph Convolution

    … After developing three different models, a Dynamic Query Expansion model, a Tweet-GCN and a Tweet-Level GCN to represent the data corpus we performed various experiments and benchmark evaluations against other existing baseline models, to justify the efficacy of our approaches. After seeing …

    vt Repository record for Detecting Public Transit Service Disruptions Using Social Media Mining and Graph Convolution (opens in a new tab)

  4. Spatiotemporal Event Forecasting and Analysis with Ubiquitous Urban Sensors

    … incident detection platform; 2) proposing a query expansion algorithm for traffic-related tweets; and 3) developing a text summarization tool for redundant traffic-related tweets. Cyberbullying detection from social media platforms is one of the major focus of this work: 1) Developing an …

    vt Repository record for Spatiotemporal Event Forecasting and Analysis with Ubiquitous Urban Sensors (opens in a new tab)

  5. Integrated Predictive Modeling and Analytics for Crisis Management

    … primarily relies on historical data to predict dynamic trends such as COVID-19. This work makes the following contributions in spatial COVID-19 pandemic forecasting: 1) the development of a unique model solely employing a wide range of socioeconomic indicators to forecast areas most susceptible …

    vt Repository record for Integrated Predictive Modeling and Analytics for Crisis Management (opens in a new tab)