Text mining Twitter social media for Covid-19 : Comparing latent semantic analysis and latent Dirichlet allocation

Text mining Twitter social media for Covid-19 : Comparing latent semantic analysis and latent Dirichlet allocation

In this thesis, the Twitter social media is data mined for information about the covid-19 outbreak during the month of March, starting from the 3’rd and ending on the 31’st. 100,000 tweets were collected from Harvard’s opensource data and recreated using Hydrate. This data is analyzed further using...

Full description

Bibliographic Details
Main Author: Sheikha, Hassan
Format: Others
Language:English
Published: Högskolan i Gävle, Avdelningen för datavetenskap och samhällsbyggnad 2020
Subjects:
Data mining
Text mining
artificial intelligence
Natural language processing
Latent Semantic Analysis
Latent Dirichlet Allocation
KMeans
HDBSCAN
Dimension reduction
Engineering and Technology
Teknik och teknologier
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-32567

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-32567

Similar Items