Word Extraction: Definition and Forensic Application

Word extraction is the automated identification and retrieval of specific words, phrases, or patterns from unstructured text data.

Techniques

• Regular expressions (regex)
• Named Entity Recognition (NER)
• Keyword/keyphrase extraction (TF-IDF, RAKE, TextRank)
• Deep learning (BERT-based span classification)

Applications

• Forensics: Evidence mining from chats, emails, logs.
• E-discovery: Legal document review.
• Sentiment/Topic analysis: Social media, reviews.
• Data loss prevention: Detect PII, secrets.

The example—detective analyzing texts for incriminating evidence—illustrates forensic keyword extraction.