Natural Language Processing (NLP) with Python
With the rise of the digital era, we are immersed in an ocean of textual data. From simple search queries to vast datasets like tweets or blog articles, the need to understand and interpret this data has never been more crucial. Enter the world of Natural Language Processing (NLP) with Python.
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The NLP profession with Python
Mission
In the incessant whirlwind of the digital world, millions of texts are born every day on the vast ether of the web. They are the voice of souls behind the screens, the whispers of an interconnected society.
But among this continuous flow, who can really claim to decipher the meaning hidden behind these words?
Enter the world of the NLP professional: the real magician of the digital world. It is not just an expert who interprets data, but an alchemist who turns raw gold from words into strategic actions, transmuting sentences into powerful decisions.
Thanks to Python, one of the most popular languages in programming, the NLP master doesn’t just read. It navigates, exploits and decodes hidden trends. It gives life to chatbots, which become virtual companions for thousands of users.
He dives into the depths of feelings, analyzing the emotions that oscillate between each line.
And the best of all? This fascinating and essential profession is growing rapidly. France, the cradle of innovation and technology, is at the forefront, with demand for these specific skills soaring. The NLP revolution is just beginning, and it promises to be dazzling.
Join us and become the next NLP maestro, shaping the digital future of France and the world.
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🎯 Objectives of the Training
Master the fundamentals
Understand the basics of NLP and Python.
Sentiment analysis
Deciphering the emotions behind the words.
Automation
Create chatbots and virtual assistants.
Data visualization
Graphically represent text trends.
Information extraction
Extract valuable information from texts.
Real project
Apply your knowledge in a concrete project.
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📚 Course content
Introduction to NLP
Immerse yourself in the science that brings machines to life, enabling you to decipher and understand human language. Learn how NLP powers revolutionary applications such as voice assistants, chatbots and semantic search engines.
Using Python for NLP
Familiarize yourself with the programming language of choice for natural language processing. Explore libraries like NLTK and spaCy, powerful tools that allow you to efficiently process huge volumes of text data.
pre-treatment techniques
Learn the crucial steps to prepare your data. Learn how to break texts down into individual words (tokenization), how to reduce words to their basic form (lemmatisation), and how to eliminate unnecessary noise and information to optimize your analytics
sentiment analysis
Immerse yourself in the art of decoding the emotions and opinions hidden behind the words. Whether it is to evaluate customer reviews or monitor a brand’s reputation, master the techniques to interpret the tone and feeling of a text.
information extraction
Learn how to dig through texts to extract essential information. Whether it’s proper names, dates, locations or relevant facts, become an expert at identifying and classifying key elements.
practical projects
Immerse yourself in concrete scenarios that simulate the real challenges of the business. Whether it’s creating a chatbot, analyzing comments on social media, or automatically classifying articles, apply your newly acquired skills and prepare for the professional world.
The job in a few figures
Companies are considering integrating NLP into their operations by 2025.
+70% increase in job offers related to NLP in 2022
France ranks 4th in Europe in terms of research and application of the NLP.
Format & Prerequisites
One-day Format
1 day format: Introduction to the NLP. Exploring NLP libraries: NLTK, spaCy. Data preprocessing: Tokenization, Stemming Delete stopwords and TF-IDF representation. Introduction to Word Embedding: Word2Vec. Quick workshop: Basic sentiment analysis.
Two-day Format
Day 1:
NLP Introduction and Significance
.
NLP Libraries Exploration: NLTK, spaCy.
Data Preprocessing: Tokenization, Stemming.
Lemmatization and Stopword Removal.
TF-IDF Representation and Word Embedding: Word2Vec.
Day 2:
Sequence Models Exploration: RNN.
Understanding Padding and Embedding
.
Introduction to Transformer Models like BERT.
Workshop: Advanced Sentiment Analysis and Basic Chatbot Building.
Four-day Format
4-Day Format:
Day 1:
Introduction to NLP.
NLP Libraries: NLTK, spaCy.
Preprocessing: Tokenization, Stemming, Lemmatization.
Day 2:
Stopword Removal, TF-IDF.
Word Embedding: Word2Vec, GloVe.
Sequence Models: RNN, LSTM.
Day 3:
Transformer Models: BERT.
Entity Extraction, Named Entity Recognition (NER).
Workshop: Building a Chatbot.
Day 4:
Content-Based Recommendation Systems.
Advanced Text Clustering Techniques.
Final Project: Complete NLP Pipeline on Real Dataset.
Prerequisite
A basic knowledge of Python. Basic knowledge in Machine Learning. Familiarity with basic data structures and algorithms. Previous experience with Python libraries such as Pandas and NumPy would be an advantage.
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We look forward to collaborating with you and assisting you on your learning journey with Datakoo Training.
🚀 Why Choose Datakoo Training's Course?
proven expertise
innovative pedagogy
market relevance
ongoing support
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