> For the complete documentation index, see [llms.txt](https://docs.texti.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.texti.ai/finetuning-task/text-classification.md).

# Text Classification

Text classification involves assigning predefined categories or labels to text documents.

 Here are some real-life business use cases for text classification:

1. ***Sentiment Analysis***: Classify customer feedback to identify areas for improvement in product or service.
2. ***Fraud Detection***: Classify the transaction as fraudulent or not based on other features of the text, without explicitly identifying specific entities.
3. ***Topic Categorization***: Automatically sort customer support tickets based on topic to improve response time and efficiency.
4. ***News Article Categorization***: Categorize news articles to monitor trends and stay up-to-date with industry developments.
5. ***Email Filtering***: Identify spam emails to improve email filtering and security.
6. ***Resume Screening***: Classify job resumes to streamline the recruitment process.

check how to prepare data for Text Classification task.