Distant supervision for tweet classification using youtube labels

Walid Magdy, Hassan Sajjad, Tarek El-Ganainy, Fabrizio Sebastiani

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

6 Citations (Scopus)

Abstract

We study an approach to tweet classification based on distant supervision, whereby we automatically transfer labels from one social medium to another. In particular, we apply classes assigned to YouTube videos to tweet slinking to these videos. This provides for free a virtually unlimited number of labelled instances that can be used as training data. The experiments we have runs how that a tweet classifier trained via these automatically labelled data substantially outperforms an analogous classifier trained with a limited amount of manually labelled data.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Web and Social Media, ICWSM 2015
PublisherAAAI Press
Pages638-641
Number of pages4
ISBN (Print)9781577357339
Publication statusPublished - 2015
Event9th International Conference on Web and Social Media, ICWSM 2015 - Oxford, United Kingdom
Duration: 26 May 201529 May 2015

Other

Other9th International Conference on Web and Social Media, ICWSM 2015
CountryUnited Kingdom
CityOxford
Period26/5/1529/5/15

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ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Magdy, W., Sajjad, H., El-Ganainy, T., & Sebastiani, F. (2015). Distant supervision for tweet classification using youtube labels. In Proceedings of the 9th International Conference on Web and Social Media, ICWSM 2015 (pp. 638-641). AAAI Press.