Professional Certificate in Advanced Text Mining Techniques
-- ViewingNowThe Professional Certificate in Advanced Text Mining Techniques is a comprehensive course designed to equip learners with the essential skills required in the rapidly growing field of data analysis. This certificate course emphasizes the importance of text mining techniques, which are critical in extracting valuable insights from unstructured text data.
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Here are the essential units for a Professional Certificate in Advanced Text Mining Techniques:
• Advanced Data Preprocessing – dealing with noisy text data, handling missing values, and feature engineering.
• Text Mining Algorithms – including Naive Bayes, Logistic Regression, Support Vector Machines, and Deep Learning algorithms.
• Topic Modeling – Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), and Correlation Explanation (CorEx).
• Sentiment Analysis – analyzing opinions, emotions, and evaluations of text data.
• Text Classification – categorizing text data into predefined classes, including spam filtering and news categorization.
• Named Entity Recognition (NER) – identifying and extracting named entities such as people, organizations, and locations.
• Information Retrieval – including query processing, ranking, and evaluation.
• Text Summarization – extracting the most important information from a large text, including single-document and multi-document summarization.
• Ethics in Text Mining – including data privacy, bias, and fairness in text mining algorithms.
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