Earticle

초록

영어

Opinion Mining is a recent area of interest for Natural Language (NLP) researchers. Peoples are intended to develop a system that can identify and classify opinion or sentiment as represented in an electronic text. Since previous attempts have defined opinion mining as a few sequence of well known standard mechanisms as: Subjectivity Detection, polarity Detection, Degree of polarity identification. The scope of the present research proposal is to develop a system that can identify subjective sentence from an input document and successively identify the polar phrases among the sentences as positive either negative. Multi Perspective Question Answering (MPQA) corpus has been chosen for the present task. The research contribution will rely on finding upon new ways to solve the subjectivity detection or polarity detection as a hard unsolved research problem.

목차

Abstract
 1. Intruduction
 2. Existing Techniques
  2.1. Translation Support System (English to Hindi)
  2.2. Speech Technology and tools
  2.3. Parsing
 4. Results & Discussions
 5. Future work
 6. Conclusion
 7. References

키워드

저자

• Debnath Bhattacharyya [ Hannam University Daejeon, Korea ]
• Susmita Biswas [ Computer Science and Engineering Department Heritage Institute of Technology Kolkata, India ]
• Tai-hoon Kim [ Hannam University Daejeon, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605