Sentiment analytics of Chinese social media posts

Jinyan Chen, Susanne Becken, Bela Stantic

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

2 Citations (Scopus)


The growing number of social media users and their posts provide valuable data about the sentiment that they have toward different services as well as people. Recent advances in big data analytics and natural language processing provided means to automatically calculate sentiment in text. Sentiment analysis is method which can be used to analyze social media content, it basically converts social media post text into quantitative data. While significant work was directed toward sentiment analytics of English text there is limited attention toward sentiment analytic of Chinese language. In this work we propose and test method to identify sentiment in Chinese social media posts and to test our method we rely on posts sent by visitors of Great Barrier Reef by users of most popular Chinese social media platform Sina Weibo. We elaborate process of capturing, managing and also we describe method for sentiment calculation, which provided details of sentiment toward the different GBR destinations and demonstrate that the proposed method is effective to obtain information and to monitor visitors’ opinion.

Original languageEnglish
Title of host publicationWIMS 2018 - 8th International Conference on Web Intelligence, Mining and Semantics
EditorsCostin Badica, Rajendra Akerkar, Mirjana Ivanovic, Milos Savic, Milos Radovanovic, Sang-Wook Kim, Riccardo Rosati, Yannis Manolopoulos
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450354899
Publication statusPublished - 25 Jun 2018
Externally publishedYes
Event8th International Conference on Web Intelligence, Mining and Semantics, WIMS 2018 - Novi Sad, Serbia
Duration: 25 Jun 201827 Jun 2018

Publication series

NameACM International Conference Proceeding Series


Conference8th International Conference on Web Intelligence, Mining and Semantics, WIMS 2018
CityNovi Sad


  • Natural Language Processing
  • Sentiment Analytics
  • Social media

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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