The dataset provided is a Depression: Reddit Dataset (Cleaned)containing approximately
7,000 labeled instances. It consists of two main features: 'text' and 'label'.
The 'text' feature contains the text data from Reddit posts related to depression, while
the 'label' feature indicates whether a post is classified as depression or not.
The raw data for this dataset was collected by web scraping Subreddits. To ensure the data's
quality and usefulness, multiple natural language processing (NLP) techniques were applied
to clean the data. The dataset exclusively consists of English-language posts, and its
primary purpose is to facilitate mental health classification tasks.
This dataset can be employed in various natural language processing tasks related to
depression,such as sentiment analysis, topic modeling, text classification, or any other NLP
task that requires labeled data pertaining to depression from Reddit.
