Supporting experts to handle tweet collections about significant events

Ali Hürriyetoglu; Nelleke Oostdijk; Erkan Basar; A. van den Bosch

doi:10.1007/978-3-319-59569-6_14

Supporting experts to handle tweet collections about significant events

Ali Hürriyetoglu, Nelleke Oostdijk, Erkan Basar, A. van den Bosch

Meertens Institute

Research output: Chapter in book/volume › Contribution to conference proceedings › Scientific › peer-review

Abstract

We introduce Relevancer that processes a tweet set and enables generating an automatic classifier from it. Relevancer satisfies information needs of experts during significant events. Enabling experts to combine automatic procedures with expertise is the main contribution of our approach and the added value of the tool. Even a small amount of feedback enables the tool to distinguish between relevant and irrelevant information effectively. Thus, Relevancer facilitates the quick understanding of and proper reaction to events presented on Twitter.

Original language	English
Title of host publication	Natural Language Processing and Information Systems (NLDB 2017)
Editors	F. Frasincar, A. Ittoo, L. Nguyen, E. Metais
Publisher	Springer
Pages	138-141
ISBN (Electronic)	9783319595696
ISBN (Print)	9783319595689
DOIs	https://doi.org/10.1007/978-3-319-59569-6_14
Publication status	Published - 2017

Keywords

Twitter
natural language processing

Access to Document

10.1007/978-3-319-59569-6_14

Cite this

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abstract = "We introduce Relevancer that processes a tweet set and enables generating an automatic classifier from it. Relevancer satisfies information needs of experts during significant events. Enabling experts to combine automatic procedures with expertise is the main contribution of our approach and the added value of the tool. Even a small amount of feedback enables the tool to distinguish between relevant and irrelevant information effectively. Thus, Relevancer facilitates the quick understanding of and proper reaction to events presented on Twitter.",

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Supporting experts to handle tweet collections about significant events. / Hürriyetoglu, Ali; Oostdijk, Nelleke; Basar, Erkan et al.

Natural Language Processing and Information Systems (NLDB 2017). ed. / F. Frasincar; A. Ittoo; L. Nguyen; E. Metais. Springer, 2017. p. 138-141.

Research output: Chapter in book/volume › Contribution to conference proceedings › Scientific › peer-review

TY - CHAP

T1 - Supporting experts to handle tweet collections about significant events

AU - Hürriyetoglu, Ali

AU - Oostdijk, Nelleke

AU - Basar, Erkan

AU - van den Bosch, A.

PY - 2017

Y1 - 2017

N2 - We introduce Relevancer that processes a tweet set and enables generating an automatic classifier from it. Relevancer satisfies information needs of experts during significant events. Enabling experts to combine automatic procedures with expertise is the main contribution of our approach and the added value of the tool. Even a small amount of feedback enables the tool to distinguish between relevant and irrelevant information effectively. Thus, Relevancer facilitates the quick understanding of and proper reaction to events presented on Twitter.

AB - We introduce Relevancer that processes a tweet set and enables generating an automatic classifier from it. Relevancer satisfies information needs of experts during significant events. Enabling experts to combine automatic procedures with expertise is the main contribution of our approach and the added value of the tool. Even a small amount of feedback enables the tool to distinguish between relevant and irrelevant information effectively. Thus, Relevancer facilitates the quick understanding of and proper reaction to events presented on Twitter.

KW - Twitter

KW - natural language processing

U2 - 10.1007/978-3-319-59569-6_14

DO - 10.1007/978-3-319-59569-6_14

M3 - Contribution to conference proceedings

SN - 9783319595689

SP - 138

EP - 141

BT - Natural Language Processing and Information Systems (NLDB 2017)

A2 - Frasincar, F.

A2 - Ittoo, A.

A2 - Nguyen, L.

A2 - Metais, E.

PB - Springer

ER -

Supporting experts to handle tweet collections about significant events

Abstract

Keywords

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