How to use NLP to compare text from two different corpora?

Summary

NLP techniques compare texts from different corpora for safety analysis

Natural Language Processing provides methods to systematically compare texts from different sources, yielding valuable insights for safety incident analysis.

The use case

An organization wants to compare incident reports with observation reports to discover patterns. The challenge is that texts come from two different corpora with different writing styles, terminology, and structure. Standard NLP techniques must be adapted to this context.

Why this matters for BI

Text analysis is becoming an increasingly important part of business intelligence. From customer satisfaction analysis to compliance monitoring, the ability to compare unstructured text and recognize patterns adds a dimension traditional BI misses.

Action: start with embedding comparisons

Begin with sentence embeddings to measure semantic similarity between documents. Tools like sentence-transformers make this accessible without deep NLP expertise.