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This research investigates sentiments expressed in responses from a survey of individuals with Obsessive-Compulsive Disorder (OCD). Utilizing sentiment analysis techniques with the TextBlob library, this research assessed the polarity and subjectivity of the collected responses. The analysis reveals significant emotional patterns, highlighting both the distress experienced by participants and the coping strategies they employ. By visualizing these sentiments using horizontal bar plots and analyzing the data through an Excel dashboard, this study enhances the understanding of OCD’s subjective impact. The insights gained may inform the development of targeted therapeutic interventions and support mechanisms for affected individuals.

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NLP-Driven Insights for Medical Data Analysis

  • 会议论文

  • 发表日期：

    2025年

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  • Nithya Varadarajan,
  • Ramya Thirunavukkarasu,
  • Dharun Prasanna Viswanathan,
  • Shree Aakash Ramesh

摘要

This research investigates sentiments expressed in responses from a survey of individuals with Obsessive-Compulsive Disorder (OCD). Utilizing sentiment analysis techniques with the TextBlob library, this research assessed the polarity and subjectivity of the collected responses. The analysis reveals significant emotional patterns, highlighting both the distress experienced by participants and the coping strategies they employ. By visualizing these sentiments using horizontal bar plots and analyzing the data through an Excel dashboard, this study enhances the understanding of OCD’s subjective impact. The insights gained may inform the development of targeted therapeutic interventions and support mechanisms for affected individuals.