Associating sentimental orientation of Chinese neologism in social media data

Li Feng Huang, Xi Liu, Vincent To Yee Ng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2015
PublisherIEEE
Pages240-246
Number of pages7
ISBN (Electronic)9781479920020
DOIs
Publication statusPublished - 31 Aug 2015
Event19th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2015 - Calabria, Italy
Duration: 6 May 20158 May 2015

Conference

Conference19th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2015
Country/TerritoryItaly
CityCalabria
Period6/05/158/05/15

Keywords

  • neologism detection
  • sentimental analysis
  • Social media

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Information Systems and Management
  • Management Science and Operations Research
  • Computer Science Applications

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