Professional Certificate in Text Analytics for Social Impact
-- ViewingNowThe Professional Certificate in Text Analytics for Social Impact is a course designed to equip learners with essential skills in text analytics, a rapidly growing field that uses natural language processing, machine learning, and other computational methods to extract insights from unstructured text data. This course is crucial in today's data-driven world, where businesses and organizations generate vast amounts of text data every day, and there is a high demand for professionals who can analyze and interpret this data to inform decision-making.
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โข Unit 1: Introduction to Text Analytics โ Text analytics fundamentals, natural language processing, text mining, and applications.
โข Unit 2: Data Preparation for Text Analytics โ Data preprocessing, cleaning, and wrangling for text analysis.
โข Unit 3: Sentiment Analysis โ Sentiment analysis techniques, tools, and real-world applications.
โข Unit 4: Topic Modeling โ Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), and other topic modeling techniques.
โข Unit 5: Text Classification โ Supervised learning for text classification, including Naรฏve Bayes, Support Vector Machines (SVM), and neural networks.
โข Unit 6: Text Analytics for Social Media Data โ Twitter and Facebook data extraction, analysis, and visualization.
โข Unit 7: Advanced Text Analytics Techniques& โ Word embeddings, deep learning for text analytics, and other advanced techniques.
โข Unit 8: Ethical Considerations in Text Analytics for Social Impact โ Privacy, bias, fairness, and ethical considerations in text analytics for social impact.
โข Unit 9: Text Analytics Case Studies โ Real-world case studies showcasing the use of text analytics for social impact.
โข Unit 10: Text Analytics Tools and Platforms โ R, Python, and other popular text analytics tools and platforms.
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