You are given a dataset consisting of text entries from online discussions, including titles and detailed content. Each entry is labeled with a category corresponding to a mental health-related issue. Your task is to develop a model that accurately classifies new, unseen text into the correct category.

The dataset consists of text-based entries related to mental health discussions.

Each entry in the dataset includes:

• id: A unique identifier for each text entry.
• title: The title of the discussion or post.
• content: The main body of the text.
• target: The assigned category, representing a mental health issue (only available in train.csv).