Sentiments in Oncology

The Cancer Treatment Sentiment Dataset was compiled by collecting 14,419 patient comments from various multilingual websites in English, French, and German. Sources include popular platforms like Reddit, Drugs.com, AskPatient, and WebMD (English); Carenity and Espoir de Vie Cancer du Sein (French); and Medzin Forum Medecine (German). The dataset focuses on patient comments and experiences with three specific cancer treatments: Afinitor, Aromasin, and Folfox, and covers a timeframe from 2005 to 2024. This dataset has numerous potential applications. It can be used to develop machine learning models for classifying patient sentiments, identifying trends, and exploring common themes in patient feedback on cancer treatments. Healthcare professionals can leverage this data to gain deeper insights into patient concerns and preferences, enhancing patient care and support. Additionally, pharmaceutical companies can utilize this resource to gather real-world feedback on treatments, helping to inform drug development and improve patient outcomes.

Original Data Source: Sentiments in Oncology