Certificate in Text Clustering: A Comprehensive Overview
-- ViewingNowThe Certificate in Text Clustering: A Comprehensive Overview is a valuable course that provides learners with essential skills in text analysis and clustering. This course is increasingly important as businesses generate and collect vast amounts of text data, creating a high demand for professionals who can organize and make sense of this information.
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โข Introduction to Text Clustering
โข Natural Language Processing (NLP) Techniques for Text Preprocessing
โข Distance Metrics for Text Analysis: Cosine Similarity, Jaccard Index, etc.
โข Hierarchical Clustering Algorithms: Agglomerative and Divisive Methods
โข Partitioning Clustering Algorithms: K-means, K-medoids, etc.
โข Density-Based Clustering Algorithms: DBSCAN, OPTICS, etc.
โข Evaluation Metrics for Text Clustering: Adjusted Rand Index, Normalized Mutual Information, etc.
โข Advanced Text Clustering Techniques: Fuzzy Clustering, Soft Clustering, etc.
โข Text Clustering Applications: Topic Modeling, Sentiment Analysis, Market Segmentation, etc.
โข Hands-On Text Clustering with Python and Machine Learning Libraries
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