Global Certificate in Future of Topic Modeling
-- ViewingNowThe Global Certificate in Future of Topic Modeling is a comprehensive course that equips learners with essential skills for career advancement in data analysis and machine learning. This course focuses on the importance of topic modeling, a critical technique in natural language processing and text mining, and its future developments.
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โข Introduction to Topic Modeling: Basics of topic modeling, its importance, and applications.
โข Probabilistic Topic Models: Understanding of probabilistic models, including Latent Dirichlet Allocation (LDA) and pLSA.
โข Non-Negative Matrix Factorization (NMF): Overview of NMF, its algorithms, and applications in topic modeling.
โข Correlation Explanation: Understanding correlation and its relationship with topic modeling.
โข Hierarchical Topic Modeling: Overview of hierarchical topic models, including Hierarchical Dirichlet Process (HDP) and Hierarchical LDA.
โข Topic Modeling Evaluation: Techniques for evaluating and comparing topic models, such as perplexity, coherence, and stability.
โข Topic Modeling Applications: Real-world applications of topic modeling, including text classification, recommendation systems, and social media analysis.
โข Future Trends in Topic Modeling: Emerging trends and future directions in topic modeling, such as deep learning, dynamic topic modeling, and multi-modal topic modeling.
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