Certificate in Practical Text Network Analysis
-- ViewingNowThe Certificate in Practical Text Network Analysis is a comprehensive course designed to equip learners with essential skills in text network analysis. This certificate course highlights the importance of network analysis in understanding complex relationships between text data in various industries.
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โข Introduction to Text Network Analysis: Fundamentals of text network analysis, network visualization, and data preprocessing. โข Data Preprocessing for Text Network Analysis: Text cleaning, tokenization, part-of-speech tagging, and network creation. โข Network Metrics in Text Network Analysis: Centrality measures, clustering coefficients, community detection, and network comparison. โข Topic Modeling in Text Network Analysis: Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), and Hierarchical Dirichlet Process (HDP). โข Dynamic Text Network Analysis: Temporal network analysis, dynamic community detection, and network evolution. โข Visualization Techniques in Text Network Analysis: Force-directed layouts, hierarchical layouts, and matrix visualization. โข Text Network Analysis in Natural Language Processing (NLP): Sentiment analysis, named entity recognition, and dependency parsing in text network analysis. โข Case Studies in Text Network Analysis: Real-world applications of text network analysis in social media, scientific literature, and historical documents.
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