Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164076
Title: Detecting dengue fever based on nature language processing
Authors: Xia, Linpeng
Keywords: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Xia, L. (2022). Detecting dengue fever based on nature language processing. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/164076
Abstract: Dengue Fever is becoming an increasingly severe problem all over the world. Besides curing dengue, detecting and preventing Dengue Fever is a very important way to protect public health. With the prevailing of social media, lots of information can be extracted utilizing Nature Language Processing. This thesis collects publicly available data from Twitter to build a standard dataset about Dengue Fever and utilizes several kinds of neural networks to do Dengue detection. The experiment results show that CNN network is the best for this kind of job.
URI: https://hdl.handle.net/10356/164076
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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