Natural Language Processing
Topic modeling is a natural language processing technique used to identify abstract topics within a collection of documents by analyzing the patterns of words that occur together. This approach helps in organizing, understanding, and summarizing large volumes of text data, allowing for easier information retrieval and insights. By extracting themes and underlying structures from text, topic modeling plays a crucial role in various applications such as document classification and trend analysis.
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