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Overview
Text mining, also known as text data mining (TDM) or text analytics, is the process of extracting high-quality information from text. It involves discovering new, previously unknown information by automatically extracting data from various written resources, such as websites, books, emails, reviews, and articles. With the help of statistical pattern learning, text mining can devise patterns and trends, providing valuable insights. Text mining has numerous applications and is used in various industries. The process typically involves structuring the input text, deriving patterns within the structured data, and evaluating and interpreting the output. With the increasing amount of unstructured text data available, text mining has become a crucial tool for organizations to gain insights and make informed decisions.
🎵 Origins & History
Text preprocessing involves cleaning and normalizing the text data, removing stop words and punctuation, and converting all text to lowercase. Pattern discovery involves using techniques such as clustering and decision trees to identify patterns and trends in the data. Evaluation involves assessing the quality and accuracy of the extracted information.
⚙️ How It Works
Sentiment analysis involves analyzing text data to determine the sentiment or emotional tone of the text. Entity recognition involves identifying and extracting specific entities, such as names, locations, and organizations, from the text data. Topic modeling involves identifying the underlying topics or themes in a large corpus of text data.
📊 Key Facts & Numbers
Text mining can help organizations gain insights into customer behavior and preferences.
👥 Key People & Organizations
Text mining is related to several other topics, including natural language processing, machine learning, and data mining. Natural language processing is the process of analyzing and understanding human language, and is a key component of text mining. Machine learning is the process of using algorithms to learn from data, and is a key component of text mining. Data mining is the process of discovering patterns and trends in large datasets, and is a key component of text mining.
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