Professional Certificate in Text Mining with spaCy

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The Professional Certificate in Text Mining with spaCy is a comprehensive course that equips learners with essential skills in text mining, natural language processing, and data analysis. This program is designed to meet the growing industry demand for professionals who can extract valuable insights from unstructured text data.

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Through hands-on exercises and real-world projects, learners will gain practical experience with spaCy, a popular open-source library for natural language processing in Python. The course covers critical topics such as text preprocessing, named entity recognition, part-of-speech tagging, and sentiment analysis, providing learners with a solid foundation in text mining techniques and best practices. Upon completion of this course, learners will be able to apply text mining techniques to solve complex business problems and drive data-driven decision-making. This certification is an excellent opportunity for professionals looking to advance their careers in data science, business intelligence, or marketing analytics, where text mining skills are highly sought after.

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โ€ข Introduction to Text Mining with spaCy
โ€ข Understanding Natural Language Processing (NLP)
โ€ข Installing spaCy and Setting up the Environment
โ€ข Data Exploration and Preprocessing for Text Mining
โ€ข spaCy Basics: Tokenization and Part-of-Speech Tagging
โ€ข Named Entity Recognition with spaCy
โ€ข Dependency Parsing and Relationship Extraction
โ€ข Sentiment Analysis using spaCy
โ€ข Advanced Topics: Contextual Embeddings and Transfer Learning
โ€ข Best Practices and Real-world Applications in Text Mining with spaCy

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
PROFESSIONAL CERTIFICATE IN TEXT MINING WITH SPACY
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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