Text analytics for market research and customer experience (CX) can be used to analyze open-ended questions by leveraging natural language processing (NLP) techniques. NLP algorithms are designed to extract meaningful insights from unstructured text data, such as the responses given in open-ended questions. These algorithms use advanced linguistic rules and statistical models to identify patterns in text that provide valuable information about customer sentiment, opinions, preferences, and behaviors. By utilizing these techniques, researchers can gain a more profound comprehension of the necessities and desires of their target audience which may then be employed to direct choices regarding product formation or marketing plans.