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TweetSpector: entity-based retrieval of tweets

Published: 12 August 2012 Publication History

Abstract

TweetSpector is a tool for demonstrating entity-based of retrieval of tweets. The various features of this tool include: entity profile creation, real-time tweet classification, active improvement of the created profiles through user feedback, and the dashboard displaying different metrics.

Reference

[1]
Surender Reddy Yerva, Zoltan Miklos, and Karl Aberer. Entity-based Classification of Twitter Messages. International Journal of Computer Science & Applications, 9(1):88--115, 2012.

Cited By

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  • (2016)TechLand: Assisting Technology Landscape Inquiries with Insights from Stack Overflow2016 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME.2016.17(356-366)Online publication date: Oct-2016
  • (2013)TweetMogazProceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval10.1145/2484028.2484212(1095-1096)Online publication date: 28-Jul-2013

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cover image ACM Conferences
SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
August 2012
1236 pages
ISBN:9781450314725
DOI:10.1145/2348283

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 August 2012

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Author Tags

  1. Twitter
  2. disambiguation
  3. entity
  4. profiles

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  • Demonstration

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SIGIR '12
Sponsor:

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2016)TechLand: Assisting Technology Landscape Inquiries with Insights from Stack Overflow2016 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME.2016.17(356-366)Online publication date: Oct-2016
  • (2013)TweetMogazProceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval10.1145/2484028.2484212(1095-1096)Online publication date: 28-Jul-2013

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