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Data mining allows researchers to explore and interpret different combinations of data and find any hidden or interesting patterns within the existing data. The hidden pattern may be attractive to the researchers depending on its usefulness. Text mining processes semi-structured and unstructured text as input data. These types of textual data can be difficult to process using traditional statistical analysis. More and more organizations are realizing the value of unstructured data—in the form of customer feedback, survey responses, social media conversations, blogs, documents, maintenance notes, news articles, and more—as a way to capture the voice of the customer. With advances in information technology such as data/text mining, the opportunity to find serendipitous patterns to provide new insights from a large corpus of documents is higher. New ways of exploring useful surprise insights by integrating data/text mining with large language models are being explored.
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