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Contributors:
  1. Mojtaba Daneshvar

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Category: Data

Description: This research aims to create a tweet dataset of lifestyle components concerning women’s cancer. In this research, lifestyle is divided into four categories (diet, exercise, alcohol, and smoking). Accordingly, a total of 27882 tweets were extracted during 2022 (one year). In this dataset, a text file and an Excel file were located in each category and also lifestyle (term), and a cumulative dataset of five domains was created. Tweets were extracted with the use of keyword-based queries to provide a comprehensive dataset regarding lifestyle and women’s cancer.

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