Enhanced regex for text classification in Python

📅 2023-08-07 — Session: Enhanced regex for text classification in Python

🕒 16:20–16:35
🏷️ Labels: Python, Regular Expressions, Data Processing, Text Classification
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the regular expression patterns used in Python for classifying text lines into names and degrees, ensuring accurate data extraction and processing.

Key Activities

• Developed a Python script utilizing regular expressions to classify text lines into names and degrees, storing results in a structured DataFrame.
• Modified regex patterns to exclude lines containing ‘TITULO’ and to correctly interpret ‘UBA’ as part of a degree.
• Implemented filtering techniques using Pandas’ str.contains method to identify entries with ‘Dra.’ or ‘Dr.’.
• Enhanced regex to filter lines with uppercase letters while excluding unwanted patterns like ‘UBA’ and ‘\x0cTITULO’.
• Improved pattern matching for title and name classification by adopting a flexible regex pattern that excludes specific keywords.

Achievements

• Successfully created a robust Python script capable of accurately classifying and filtering text lines based on specified criteria.
• Improved the accuracy of data extraction by refining regex patterns and filtering methods.

Pending Tasks

• Further testing and validation of the regex patterns in diverse datasets to ensure reliability and accuracy.
• Optimization of the script for performance in larger datasets.