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Text Mining

Text Mining is the process of extracting meaningful information and patterns from unstructured text data using computational methods.

Definition​

Text mining applies natural language processing (NLP) and machine learning techniques to discover patterns, trends, and insights in large text collections.

Common Techniques​

Tokenization​

Breaking text into words, sentences, or other units.

Named Entity Recognition (NER)​

Identifying and classifying named entities (people, places, organizations, dates).

Sentiment Analysis​

Determining the emotional tone of text.

Keyword Extraction​

Identifying the most important terms in a document.

Applications in History​

  • Newspaper analysis — Finding patterns across decades of publications
  • Correspondence networks — Mapping who wrote to whom
  • Legal documents — Extracting key terms and relationships