Mining social media text for disaster resource management using a feature selection based on forest optimization

Author:

Bhoi Ashutosh,Balabantaray Rakesh Chandra,Sahoo Deepak,Dhiman Gaurav,Khare ManishORCID,Narducci Fabio,Kaur Amandeep

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference68 articles.

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2. A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization;Aphinyanaphongs;Journal of the Association for Information Science and Technology,2014

3. Solving social media text classification problems using code fragment-based XCSR;Arif,2017

4. Bakliwal, A., Foster, J., van der Puil, J., O’Brien, R., Tounsi, L., & Hughes, M. (2013). Sentiment analysis of political tweets: Towards an accurate classifier. In Proceedings of the workshop on language analysis in social media (pp. 49–58).

5. A new optimal gene selection approach for cancer classification using enhanced Jaya-based forest optimization algorithm;Baliarsingh;Neural Computing and Applications,2020

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