Global Certificate in Text Mining Fundamentals
-- ViewingNowThe Global Certificate in Text Mining Fundamentals is a comprehensive course designed to equip learners with essential skills in text mining, a rapidly growing field that uses computational methods to extract valuable insights from unstructured text data. This course is crucial in today's data-driven world, where businesses generate vast amounts of text data daily.
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โข Unit 1: Introduction to Text Mining โ Defining text mining, its importance, and applications.
โข Unit 2: Text Preprocessing โ Data cleaning, tokenization, stopword removal, stemming, and lemmatization.
โข Unit 3: Natural Language Processing (NLP) โ NLP basics, Part-of-Speech tagging, Named Entity Recognition, and dependency parsing.
โข Unit 4: Text Mining Techniques โ Text categorization, text clustering, sequence mining, and association rule mining.
โข Unit 5: Text Mining Tools & Libraries โ Overview and hands-on experience with popular text mining tools like NLTK, spaCy, and Gensim.
โข Unit 6: Sentiment Analysis โ Defining sentiment analysis, sentiment lexicons, and using machine learning for sentiment analysis.
โข Unit 7: Topic Modeling โ Latent Dirichlet Allocation, Non-negative Matrix Factorization, and other probabilistic topic modeling techniques.
โข Unit 8: Text Mining in Real-World Scenarios โ Applying text mining to social media, customer feedback, and scientific literature.
โข Unit 9: Text Mining Evaluation โ Evaluation metrics, cross-validation, and statistical testing.
โข Unit 10: Ethics in Text Mining โ Ethical considerations, biases, and data privacy in text mining.
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