[ DevCourseWeb.com ] Advanced Text Analytics: Topic Modeling and Named Entity Recognition



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Released 3/2024

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Level: Beginner | Genre: eLearning | Language: English + vtt | Duration: 40m | Size: 114 MB



Learn how to use advanced topic modeling and named entity recognition (NER) for text analytics, covering the math and code behind topic modeling and NER algorithms (e.g., transformer-based) and how to integrate both in your workflows.



As our primary mode of communication, text surrounds us -- in books, articles, social media posts, reviews, emails, and more. By leveraging text analytics, we can extract meaningful insights from this data and make intelligent decisions (for example, via sentiment analysis).



In this course, Advanced Text Analytics: Topic Modeling and Named Entity Recognition, you’ll gain the theory and practical implementation skills to apply advanced topic modeling and named entity recognition (NER) techniques for real-world use cases.



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