PatientReactionInsights

tags: user experience, sentiment analysis, healthcare

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'PatientReactionInsights' dataset aims to gather insights into patient experiences and sentiments regarding their healthcare services. It consists of user reviews and feedback submitted to a healthcare provider's platform. These reviews are collected through a feedback form where patients can describe their experiences, the quality of care they received, and their overall satisfaction. Sentiment analysis is performed on the text to classify each review into categories reflecting the patient's sentiment.

CSV Content Preview:

"id","review_text","sentiment_label"

"001","Excellent care and the staff was very understanding and compassionate. I felt well taken care of.","Positive"

"002","Waiting times were too long and the process was inefficient. Disappointed with the service.","Negative"

"003","The new treatment made a significant difference in my condition. Very pleased with the doctor's explanation and care.","Positive"

"004","I experienced a mistake in my medication that caused some issues. It was resolved, but not ideal.","Negative"

"005","The nurse was very attentive and made sure I was comfortable during my stay. Highly recommend the facility.","Positive"

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query '':

• Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=PatientReactionInsights&tags=user+experience,+sentiment+analysis,+healthcare
• Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
• More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub