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SAMUL – A Toolkit for Sentiment Analysis in Multi-language

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Project Quick Facts

Principal Investigator

  • Prof. WONG Kam Fai

    Department of Systems Engineering and Engineering Management

  • Award

    Prize of the Ministry of Scientific Research and Innovation – Romania and Silver Medal, 47th International Exhibition of Inventions Geneva

SAMUL is a multilingual sentiment analysis toolkit to empower business intelligence in e-commerce. Given a specific topic, SAMUL will search, analyse, organise and report the related information from the designated social media and websites using natural language processing (NLP) and big data analytic technology. It is protected by five patents (three accepted and two pending).

Uniqueness and Competitive Advantages:

  • Extract credibility, content and mood of the author of a message/ microblog
  • Identify trending topics in social media
  • Understand Cantonese, Mandarin and English currently, but can be extended to other alphabetic languages
  • Accumulated revenue boosts of USD$25 million based on surveying six of major clients during 2014 to 2016

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