computational text analysis

Computational Text Analysis is a method used to understand and analyze large amounts of text using algorithms and computer techniques. It involves examining patterns, themes, and structures in written content—like books, articles, or social media. By leveraging natural language processing (NLP), it helps researchers and businesses extract insights, detect sentiments, identify trends, or categorize information efficiently. This powerful approach allows us to glean meaningful data from vast text sources, making it easier to draw conclusions and make informed decisions in various fields such as marketing, social science, and information retrieval.