Stephen 52 Yahoo Com Gmail Com Mail | Com 2020 21 Txt

"stephen 52 yahoo com gmail com mail com 2020 21 txt" A deep feature in machine learning or data processing typically means extracting meaningful, higher-level attributes from raw input — going beyond simple keyword extraction into inferred patterns, relationships, or embeddings.

# 6. Year detection (1900-2030) years = [n for n in numbers if 1900 <= n <= 2030] features['years_found'] = years stephen 52 yahoo com gmail com mail com 2020 21 txt

# 1. Basic stats features['token_count'] = len(tokens) features['char_count'] = len(text) features['digit_count'] = sum(c.isdigit() for c in text) features['alpha_count'] = sum(c.isalpha() for c in text) "stephen 52 yahoo com gmail com mail com

It looks like you’re asking to build a from a raw string of mixed data: = n &lt

# 9. Embedded feature: "year + number" combo if len(years) == 1 and len(numbers) > 1: other_nums = [n for n in numbers if n not in years] if other_nums: features['year_num_pair'] = (years[0], other_nums[0])