Authors: Wanghaochen

Affiliation: Use Prompt and GPT to extract data

Email: 2201213129@stu.pku.edu.cn

Description: Information extraction is the process of automatically extracting structured information from unstructured or semi-structured data sources such as documents, emails, and websites. In this project, we aim to use ChatGPT, a large language model, to perform information extraction on multiple file formats, including text files, PDFs, and images.

To achieve this, we employ various prompt methods to prompt ChatGPT to extract relevant information from the files. For example, we can use prompts such as "Extract all the phone numbers from the file" or "What is the date of the document?" to prompt ChatGPT to extract specific information from the file.

In addition to traditional file formats, we also utilize OCR technology to extract text from images and PDFs that contain scanned images. This enables us to extract information from a wider range of sources and formats.

Once the information is extracted, we use natural language processing techniques to clean and normalize the extracted data. For example, we may convert all phone numbers to a standardized format or convert dates to a common date format.

Finally, we integrate the extracted information into a structured format such as a database or spreadsheet, depending on the specific requirements of the project. This allows the information to be easily queried and analyzed.

Overall, this approach allows us to perform automated information extraction on a wide range of file formats, making it a powerful tool for tasks such as data mining, market research, and fraud detection.