Text Mining and Natural Language Processing in Data Science
June 14, 2024 ⚊ 1 Min read ⚊ Views 26 ⚊ TECH
Text mining, also known as text analytics, encompasses a range of techniques aimed at extracting meaningful insights from unstructured textual data. It involves processes such as parsing, tokenization, stemming, and entity recognition to transform raw text into structured information that can be analyzed computationally. Text mining techniques are instrumental in tasks such as information retrieval, sentiment analysis, topic modeling, and document clustering.
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