Tracking food insecurity from tweets using data mining techniques-Reference-Cited by-同舟云学术

Tracking food insecurity from tweets using data mining techniques

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Software Engineering in Africa - SEiA '18
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Author:

Lukyamuzi Andrew¹,Ngubiri John²,Okori Washington³

Affiliation:

1. Mbarara University of Science and Technology, Uganda

2. Makerere University, Uganda

3. Uganda Technology and Management University, Uganda

Publisher

ACM Press

Reference41 articles.

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2. Aida Ali, Siti Mariyam Shamsuddin, and Anca L Ralescu. 2015. Classification with class imbalance problem : A Review.Int. J. Advance Soft Compu. Appl7, 3 (2015), 176--2014.

3. Godfrey B a Bahiigwa. 1999.Household Food Security in Uganda: an Empirical Analysis.Technical Report 1-24.

4. Vicenç Parisi Baradad and Alexis-michel Mugabushaka. 2015. Corpus Specific Stop Words to Improve the Textual Analysis in Scientometrics. In15th International Conference of the International Society for Scientometrics and Informetrics (ISSI).999--1005. https://ai2-s2-pdfs.s3.amazonaws.com/618d/a4f6d5cd329d3bc498d9457f575cbdfaf53d.pdf[Accessedon3rdDec2017]

5. Aditya Bhardwaj, Yogendra Narayan, and Maitreyee Dutta. 2015. Sentiment Analysis for Indian Stock Market Prediction Using Sensex and Nifty. In4th International Conference on Eco-friendly Computing and Communication Systems, Vol. 70. Elsevier Masson SAS, 85--91.

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