Patient's Feedback Platform for Quality of Services via “Free Text Analysis” in Healthcare Industry

  • Ahthasham Sajid Department of CS,FICT,BUITEMS Quetta
  • Muhammad Awais Department of Computer Science, Faculty of ICT,BUITEMS, Quetta, Pakistan
  • Mirza Amir Mehmood Department of Computer Science, Faculty of ICT,BUITEMS, Quetta, Pakistan
  • Shazia Batool Department of Computer Science, Faculty of ICT,BUITEMS, Quetta, Pakistan
  • Amir Shahzad Department of Computer Science, Faculty of ICT,BUITEMS, Quetta, Pakistan
  • Afia Zafar Department of Computer Science, NUTECH, Islamabad, Pakistan
Keywords: Sentiment Analysis, Polarity, Healthcare


Data analysis of social media posting continues to offer a huge variety of information about the health situation faced by an individual. Social networking or social media websites provide us a wealth of information generated by users in a variety of domains, that generated information are unstructured and unlabeled and are not captured in an exceedingly systematic manner, as info generated is not humanly possible to process due to its size. One traditional way of collecting patients experience is by conducting surveys and questionnaires, as these methods ask fixed questions and are expensive to administer. In this paper, a patient feedback platform (PFP) using free text sentiment analysis is developed to computationally identify and categorize the polarity expressed in a piece of text. Six machine learning latest algorithms have been used as key evaluation for evaluating accuracy of the developed (PFP) model. Results achieved have shown 88 % accuracy on the basis of which it is recommended that developed (PFP) patient feedback platform could be used to improve E-health care services indeed.


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How to Cite
Sajid, A., Awais, M., Amir Mehmood, M., Batool, S., Shahzad, A., & Zafar, A. (2020). Patient’s Feedback Platform for Quality of Services via “Free Text Analysis” in Healthcare Industry. EMITTER International Journal of Engineering Technology, 8(2), 316-325.