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Identifying Temporal Information and Tracking Sentiment in Cancer Patients’ Interviews

  • Braja Gopal PatraEmail author
  • Nilabjya Ghosh
  • Dipankar Das
  • Sivaji Bandyopadhyay
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9042)

Abstract

Time is an essential component for the analysis of medical data, and the sentiment beneath the temporal information is intrinsically connected with the medical reasoning tasks. The present paper introduces the problem of identifying temporal information as well as tracking of the sentiments/emotions according to the temporal situations from the interviews of cancer patients. A supervised method has been used to identify the medical events using a list of temporal words along with various syntactic and semantic features. We also analyzed the sentiments of the patients with respect to the time-bins with the help of dependency based sentiment analysis techniques and several Sentiment lexicons. We have achieved the maximum accuracy of 75.38% and 65.06% in identifying the temporal and sentiment information, respectively.

Keywords

temporal information sentiment analysis support vector machines cancer patients’ interviews 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Braja Gopal Patra
    • 1
    Email author
  • Nilabjya Ghosh
    • 2
  • Dipankar Das
    • 1
  • Sivaji Bandyopadhyay
    • 1
  1. 1.Dept. of Computer Science & EngineeringJadavpur UniversityKolkataIndia
  2. 2.YahooBangaloreIndia

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