Work

Automatic Identification and Presentation of Twitter Content for Planned Events

Year: 2021

Type: conference-paper

Abstract: We demonstrate a system for augmenting information about planned events with Twitter messages, using a set of automatic query building strategies. We present two alternative interfaces to our system, namely, a browser plug-in and a customizable Web interface.

Source: Proceedings of the International AAAI Conference on Web and Social Media

DOI: 10.1609/icwsm.v5i1.14081

Authors: Hila Becker, Feiyang Chen, Dan Iter, Mor Naaman, Luis Gravano

Institutions: Columbia University, Rutgers, The State University of New Jersey

Language: English

Topic: Web Data Mining and Analysis

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: National Science Foundation, Council for Research in the Social Sciences, Columbia University

Awards: III: Small: Collaborative Research: Detection and Presentation of Community and Global Event Content from Social Media Sources, III: Small: Collaborative Research: Detection and Presentation of Community and Global Event Content from Social Media Sources, III-COR-Small: Beyond Keyword Search: Enabling Diverse Structured Query Paradigms over Text Databases