Natural Language Preprocessing Using spaCy
- Description
- Curriculum
- FAQ
- Reviews
<<WE WILL ADD MANY NEW TOPICS TO THIS COURSE>>
Unlocking Linguistic Insights with spaCy
Welcome to the world of linguistic analysis with our comprehensive Udemy course on using spaCy! If you’ve ever been curious about the underlying structure of language, fascinated by natural language processing (NLP), or eager to extract valuable information from text, this course is your gateway to the exciting field of computational linguistics.
Linguistic analysis plays a pivotal role in applications ranging from sentiment analysis to chatbots, and spaCy is a leading library that empowers you to explore and manipulate language data with ease. Whether you’re a beginner or an experienced developer, our course provides a step-by-step journey through the core concepts, tools, and techniques of spaCy.
In this course, you will:
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Gain a solid understanding of linguistic concepts.
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Explore tokenization, part-of-speech tagging, and named entity recognition.
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Dive into dependency parsing and text classification.
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Build practical NLP applications using spaCy.
By the end of the course, you’ll be equipped with the skills and knowledge to apply spaCy to real-world linguistic challenges. Join us today and start unraveling the secrets hidden within text!
Who Should Take This Course:
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Aspiring data scientists and machine learning engineers interested in NLP.
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Software developers keen on integrating NLP capabilities into their applications.
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Analysts and researchers aiming to leverage NLP for data analysis and insights.
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1
Introduction -
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How to do Pos tagging? python code
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3
What are adjuctives and how to find them using spaCy? python code
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4
What are Preposition and postposition and how to find them using spaCy?
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5
What are adverbs and how to find them using spaCy? python code
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6
What Is an Auxiliary Verb and how to find it using spaCy? python code
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7
What Are Determiners and how to find them using spaCy? python code
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8
What is an Interjection and how to find them using spaCy? python code
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9
What is a Noun and how to find it using spaCy? python code
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10
What is a Coordinating Conjunction and how to find it the spaCy? python code
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11
What is a Numeral and how to find it using spaCy ? python code
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12
What are Particles and how to find them using spaCy? python code
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13
What are a Pronoun and how to find it using spaCy ? python code
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14
What are subordinating conjunctions ?
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15
What are Symbol , Verb , X tags ?
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16
what is inside Tags attribute ?python code
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17
What is the dependency parsing ??
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18
what is morphology ? python code
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19
rule based lemmatizer vs lookup lemmatizer
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20
what is lookups class and how to use it ? python code
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21
load vs blank function python code
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22
Named Entity Recognition part1 python code
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Named Entity Recognition part2 python code
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24
tokenizaion
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25
How to Customize spaCy’s Tokenizer Class for Enhanced Text Processing ???
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26
Modifying existing rule sets
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Hooking a custom tokenizer into the pipeline
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28
Training with custom tokenization
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29
Using pre-tokenized text
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30
How to merge the tokens ?
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31
How to split the tokens ?
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32
Updating Custom Token Attributes
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33
How to Segment Sentences ?
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34
Mappings & Exceptions
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35
Word vectors and semantic similarity
