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Title: Associating sentimental orientation of Chinese neologism in social media data
Authors: Huang, LF
Liu, X
Ng, V 
Keywords: Neologism detection
Sentimental analysis
Social media
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Proceedings of the 2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2015, 6-8 May 2015, 7230965, p. 240-246 How to cite?
Abstract: Sentiment analysis has always found its practical use in collecting people's preferences towards any subject in the context of social media. Unlike normal words available in dictionaries, neologisms are not easy to be labeled with a sentimental orientation while they have been widely used in conveying people's feelings and opinions. In order to conduct a reliable sentiment analysis for neologisms, a neologism discovery method is first required. Next, a sentimental analysis based on the discovery results can be performed. This paper proposes a 2-step novel solution by having a Chinese neologism discovery method and then a sentimental orientation determination algorithm based on varied TF-IDF. For neologism discovery, statistical data include frequency, duration of appearance and the number of users using a neologism. For sentimental orientation determination, we consider keyword term frequency, and document frequency together and use a varied TF-IDF algorithm. The preliminary experimental results show good precision rate and recall rates for a collection of social media data in both neologism discovery and sentimental analysis.
ISBN: 9781479920020
DOI: 10.1109/CSCWD.2015.7230965
Appears in Collections:Conference Paper

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