RweetMiner: Automatic identification and categorization of help requests on twitter during disasters

Author:

Ullah Irfan,Khan Sharifullah,Imran Muhammad,Lee Young-Koo

Funder

Institute for Information Communication Technology Planning and Evaluation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference52 articles.

1. Paul, M. J. & Dredze, M. (2011). You are what you tweet: Analyzing twitter for public health. In Fifth international AAAI conference on weblogs and social media.

2. Pak, A. & Paroubek, P. (2010). Twitter as a corpus for sentiment analysis and opinion mining. In LREc (Vol. 10, pp. 1320–1326).

3. Weng, J. & Lee, B. -S. (2011). Event detection in twitter. In Fifth international AAAI conference on weblogs and social media.

4. Big crisis data: Social media in disasters and time-critical situations;Castillo,2016

5. Imran, M., Castillo, C., Diaz, F. & Vieweg, S. (2015). Processing social media messages in mass emergency: A survey. ACM Computing Surveys (CSUR) 47 (4), 67.

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