Social Sentiment Analysis for Hong Kong Financial Markets

Lam, Pui Hei

Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/8204

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DC Field	Value	Language
dc.contributor.author	Lam, Pui Hei	en_US
dc.date.accessioned	2016-01-07T01:24:07Z
dc.date.accessioned	2017-09-19T09:14:41Z
dc.date.accessioned	2019-02-12T07:33:05Z	-
dc.date.available	2016-01-07T01:24:07Z
dc.date.available	2017-09-19T09:14:41Z
dc.date.available	2019-02-12T07:33:05Z	-
dc.date.issued	2015	en_US
dc.identifier.other	2015eelph900	en_US
dc.identifier.uri	http://144.214.8.231/handle/2031/8204	-
dc.description.abstract	This paper investigates the correlation between the movements of Hang Seng Index (HSI) and the social media sentiments in Hong Kong. The idea of this paper comes from a research paper titled "Twitter mood predicts the stock market" which proves an 82.7% accuracy of predicting Dow Jones Industrial Average (DJIA) by sentiment data of Twitter tweets. To apply such idea into the situation of Hong Kong, this paper analyzed two data sets: the sentiment data from a popular Hong Kong forum and the change of Hang Seng Index. Hang Seng Index is chosen to represent the Hong Kong Financial Market because it concludes the major Hong Kong Financial Market. The result shows there is weak correlation between the social sentiment and the HSI movement.	en_US
dc.rights	This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.	en_US
dc.rights	Access is restricted to CityU users.	en_US
dc.title	Social Sentiment Analysis for Hong Kong Financial Markets	en_US
dc.contributor.department	Department of Electronic Engineering	en_US
dc.description.supervisor	Supervisor: Mr. TING, Van C W; Assessor: Dr. YEUNG, Alan K H	en_US
Appears in Collections:	Electrical Engineering - Undergraduate Final Year Projects

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