Masterclass Certificate in Text Analytics Best Practices
-- ViewingNowThe Masterclass Certificate in Text Analytics Best Practices is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly evolving field of data analytics. This course focuses on text analytics, a critical area of data science that involves extracting valuable insights from unstructured text data.
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โข Introduction to Text Analytics: Defining text analytics, understanding its importance, and identifying its applications
โข Data Preparation for Text Analytics: Cleaning, pre-processing, and transforming text data for analysis
โข Natural Language Processing (NLP): Overview of NLP techniques, including tokenization, stemming, and part-of-speech tagging
โข Sentiment Analysis: Techniques for analyzing sentiment in text data and measuring customer opinions
โข Topic Modeling: Identifying hidden themes and topics in text data using techniques like Latent Dirichlet Allocation (LDA)
โข Text Classification: Categorizing text data into predefined classes using machine learning algorithms
โข Text Visualization: Visualizing text data using techniques like word clouds, network graphs, and topic models
โข Evaluation Metrics for Text Analytics: Understanding and measuring the performance of text analytics models
โข Best Practices for Text Analytics: Ethics, privacy, and security considerations for text analytics projects
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