👉 Gruneritization is a method of analyzing text data in natural language processing (NLP) to identify patterns and relationships between words. It involves using statistical models to analyze how words are used within a sentence, such as their frequency of occurrence, dependency relationships, or the presence of certain keywords or phrases. This process helps NLP systems understand the context and meaning behind words in text data, making it easier for them to generate more accurate and meaningful human-like responses.
