REAL-TIME TWEET SENTIMENT ANALYSIS BASED ON DEEP LEARNING

Master's

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Bibliographic Details
Main Author: FENG PIAOPIAO
Other Authors: COMPUTER SCIENCE
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/151097
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1510972021-02-19T09:11:22Z REAL-TIME TWEET SENTIMENT ANALYSIS BASED ON DEEP LEARNING FENG PIAOPIAO COMPUTER SCIENCE Ooi Beng Chin Real-time system, Sentiment analysis, Deep learning, Optimization Master's MASTER OF SCIENCE (RSH-SOC) 2019-01-22T18:00:26Z 2019-01-22T18:00:26Z 2018-08-20 Thesis FENG PIAOPIAO (2018-08-20). REAL-TIME TWEET SENTIMENT ANALYSIS BASED ON DEEP LEARNING. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/151097 en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Real-time system, Sentiment analysis, Deep learning, Optimization
spellingShingle Real-time system, Sentiment analysis, Deep learning, Optimization
FENG PIAOPIAO
REAL-TIME TWEET SENTIMENT ANALYSIS BASED ON DEEP LEARNING
description Master's
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
FENG PIAOPIAO
format Theses and Dissertations
author FENG PIAOPIAO
author_sort FENG PIAOPIAO
title REAL-TIME TWEET SENTIMENT ANALYSIS BASED ON DEEP LEARNING
title_short REAL-TIME TWEET SENTIMENT ANALYSIS BASED ON DEEP LEARNING
title_full REAL-TIME TWEET SENTIMENT ANALYSIS BASED ON DEEP LEARNING
title_fullStr REAL-TIME TWEET SENTIMENT ANALYSIS BASED ON DEEP LEARNING
title_full_unstemmed REAL-TIME TWEET SENTIMENT ANALYSIS BASED ON DEEP LEARNING
title_sort real-time tweet sentiment analysis based on deep learning
publishDate 2019
url http://scholarbank.nus.edu.sg/handle/10635/151097
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