Introduction to NLP | Codefinity

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Introduction to NLP

Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.

Course

Gain insight into a topic and learn the fundamentals

nuevo

Advanced

Recommended experience

24 chapters

Flexible schedule

Learn at your own pace

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What you will learn

Grasp text preprocessing fundamentals, including tokenization and removal of stop words.
Understand the process of stemming and lemmatization for textual data.
Discover basic text models and how to represent textual information effectively.
Become familiar with word embeddings and the implementation of Word2Vec.

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Assessments18 assignments

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There are 6 modules in this course

We will start our journey with learning and implementing the most common text preprocessing techniques used in NLP to convert the initial raw text into a clean, standardized form.

Without further ado, let's explore stemming and lemmatization. These techniques may enhance efficiency and effectiveness of some NLP tasks, especially when working with large text corpora and treating different words forms as the same word.

Preprocessed text should then be transformed into a numerical representation to be used in machine learning or deep learning models for various tasks such as prediction, classification, or clustering. Here, we will learn to implement the most basic yet popular text models that transform text data into numbers.

Time to unlock the power of word embeddings and delve into advanced techniques for capturing semantic relationships between words. We will explore various embedding models such as Word2Vec, GloVe, and FastText, with a particular focus on the Word2Vec model and its implementation.

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Kwizera Mugisha

The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

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My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

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