Part 5/11:
Given the volume of data, the next challenge was breaking down lengthy texts into manageable chunks for processing. The developer devised a Python script to traverse the folder containing all converted opinions, splitting each file into segments of four pages. This was achieved using GPT-3's ability to generate code snippets, demonstrating how AI can assist in automating data manipulation tasks.
Dealing with OCR Errors
However, some OCR (Optical Character Recognition) inaccuracies infiltrated the text, leading to duplicated characters, corrupted text, and formatting issues. These errors posed problems for subsequent processing steps, such as token counting and JSON generation.