Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164076
Full metadata record
DC FieldValueLanguage
dc.contributor.authorXia, Linpengen_US
dc.date.accessioned2023-01-04T08:34:08Z-
dc.date.available2023-01-04T08:34:08Z-
dc.date.issued2022-
dc.identifier.citationXia, L. (2022). Detecting dengue fever based on nature language processing. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/164076en_US
dc.identifier.urihttps://hdl.handle.net/10356/164076-
dc.description.abstractDengue 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.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen_US
dc.titleDetecting dengue fever based on nature language processingen_US
dc.typeThesis-Master by Courseworken_US
dc.contributor.supervisorMao Kezhien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Computer Control and Automation)en_US
dc.contributor.supervisoremailEKZMao@ntu.edu.sgen_US
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:EEE Theses
Files in This Item:
File Description SizeFormat 
Detecting Dengue Fever with NLP 1-3.pdf
  Restricted Access
2.01 MBAdobe PDFView/Open

Page view(s)

105
Updated on Apr 16, 2024

Download(s)

4
Updated on Apr 16, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.