In the context of data science and business intelligence, refers to a sophisticated approach to text analytics that goes beyond simple keyword counting to extract meaningful, human-like understanding from unstructured data . Core Concepts of Deep Text
: A methodology focused on reducing "AI technical debt" by using semantic models, as detailed by PoolParty . Insight
: Unlike traditional "shallow" text mining that just counts words, Deep Text uses Knowledge Graphs and Natural Language Processing (NLP) to understand the relationships and concepts within a sentence. In the context of data science and business
: It identifies not just what someone is saying, but their underlying intent or specific emotions, such as distinguishing sarcasm or complex moods like hope vs. contentment. Key Resources : It identifies not just what someone is
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