Professional Certificate in Text Mining: Extracting Knowledge
-- ViewingNowThe Professional Certificate in Text Mining: Extracting Knowledge is a crucial course for individuals seeking to harness the power of data and drive business success. With the rapid growth of data, there's an increasing demand for professionals who can extract valuable insights from text data.
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โข Introduction to Text Mining: Definitions, Importance, and Fundamentals
โข Data Preprocessing for Text Mining: Cleaning, Normalization, and Tokenization
โข Text Mining Techniques: Statistical and Machine Learning Methods
โข Natural Language Processing (NLP): Named Entity Recognition, Part-of-Speech Tagging
โข Topic Modeling: Latent Dirichlet Allocation, Non-negative Matrix Factorization
โข Sentiment Analysis: Aspect-Based Sentiment Analysis, Opinion Mining
โข Text Classification: Naive Bayes, Support Vector Machines, Deep Learning
โข Text Summarization: Extractive and Abstractive Methods
โข Evaluation Metrics for Text Mining: Precision, Recall, F1-score, ROC Curve
โข Real-World Applications of Text Mining: Social Media Analysis, Fraud Detection, Recommender Systems
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