Which of the following analysis methods would help in extracting names of organizations from a text?

Named entity recognition is the correct method to extract names of organizations from a text because it specifically focuses on identifying and classifying key entities within the text, such as names of people, locations, and organizations. This technique uses natural language processing (NLP) to recognize and categorize these entities, enabling the extraction of organized information from unstructured data.

This method is particularly useful in various applications, including information retrieval, content classification, and even enhancing search engine capabilities, by distinguishing valuable information from large volumes of text. Named entity recognition typically leverages machine learning algorithms that are trained to recognize patterns associated with specific types of entities, ensuring that organizations' names are accurately identified and extracted from the surrounding context.