Postgraduate Certificate in R for Natural Language Processing
-- ViewingNowThe Postgraduate Certificate in R for Natural Language Processing is a comprehensive course designed to equip learners with the essential skills to analyze and process natural language data using R programming. This course highlights the importance of NLP in various industries, such as marketing, healthcare, and finance, where extracting valuable insights from textual data has become crucial.
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⢠<strong>Introduction to R for Natural Language Processing</strong>
⢠R Packages for NLP: <code>tm</code>, <code>tidytext</code>, and <code>koRpus</code>
⢠Data Preprocessing: Tokenization, Stop Words Removal, and Stemming
⢠Text Visualization: Word Clouds, Bar Plots, and Network Graphs
⢠Sentiment Analysis in R: <code>syuzhet</code> and <code>tidytext</code> Packages
⢠Topic Modeling: Latent Dirichlet Allocation (LDA) with <code>topicmodels</code> Package
⢠Text Classification: Naive Bayes, Logistic Regression, and Support Vector Machines
⢠Named Entity Recognition in R: <code>spacyr</code> Package
⢠Evaluation Metrics for NLP: Precision, Recall, F1-Score, and Accuracy
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