Welcome to the Natural Language Processing Course, a captivating journey into the realm of human language and machine intelligence. In today’s digital age, NLP is at the forefront of technological innovation, powering virtual assistants, language translation, sentiment analysis, and much more.
This course is your gateway to understanding the intricacies of natural language, enabling you to build intelligent systems that can comprehend, interpret, and generate human language. Whether you’re a novice, a data scientist, or a seasoned developer, this course is designed to cater to all levels of expertise.
Over the course, we’ll embark on an exploration of NLP’s fundamental concepts, from text preprocessing and sentiment analysis to advanced topics like machine translation and chatbot development. Practical hands-on labs will equip you with the skills to tackle real-world NLP challenges.
We’ll also delve into the ethical dimensions of NLP, addressing issues of bias, fairness, and privacy. By the course’s end, you’ll not only possess a deep understanding of NLP but also the ability to design and deploy NLP solutions responsibly.
Join us on this exciting voyage into the world of Natural Language Processing, where you’ll gain the expertise to create cutting-edge applications, mine valuable insights from text data, and contribute to the transformative field of artificial intelligence. Let’s embark on this linguistic adventure together!
Week 1: Introduction to Natural Language Processing
- Day 1: Course overview and NLP applications
- Day 2: Text data preprocessing (tokenization, stemming, and lemmatization)
- Day 3: Text data cleaning (stop words, special characters)
- Day 4: NLP libraries and tools (NLTK, spaCy, and more)
- Day 5: Hands-on lab – Text data preprocessing and exploration
Week 2: Text Classification and Sentiment Analysis
- Day 6: Introduction to text classification
- Day 7: Naive Bayes and logistic regression for text classification
- Day 8: Feature extraction (TF-IDF)
- Day 9: Sentiment analysis with supervised learning
- Day 10: Hands-on lab – Building a sentiment analysis model
Week 3: Named Entity Recognition and Part-of-Speech Tagging
- Day 11: Named Entity Recognition (NER)
- Day 12: Part-of-Speech (POS) tagging
- Day 13: NER and POS tagging models in spaCy
- Day 14: Chunking and parsing
- Day 15: Hands-on lab – NER and POS tagging with spaCy
Week 4: Word Embeddings and Word2Vec
- Day 16: Word representations and distributional semantics
- Day 17: Word2Vec and its architecture
- Day 18: Training Word2Vec models
- Day 19: Pre-trained word embeddings (Word2Vec, GloVe)
- Day 20: Hands-on lab – Word embeddings and Word2Vec in practice
Week 5: Sequence-to-Sequence Models and Machine Translation
- Day 21: Sequence-to-sequence (Seq2Seq) architecture
- Day 22: Attention mechanisms in NLP
- Day 23: Building a machine translation model
- Day 24: Transformer architecture
- Day 25: Hands-on lab – Machine translation with Seq2Seq models
Week 6: Text Generation and Chatbots
- Day 26: Text generation using recurrent neural networks (RNNs)
- Day 27: Building a simple chatbot
- Day 28: Transfer learning for chatbots (GPT-3 and similar models)
- Day 29: Conversational AI and ethics
- Day 30: Hands-on lab – Creating a text generator and chatbot
Week 7: Advanced NLP Topics
- Day 31: Document summarization
- Day 32: Coreference resolution
- Day 33: Question-answering systems
- Day 34: NLP for social media analysis
- Day 35: Hands-on lab – Advanced NLP applications
Week 8: NLP in Practice and Ethical Considerations
- Day 36: Deploying NLP models in production
- Day 37: Scalability and real-world challenges
- Day 38: Bias and fairness in NLP
- Day 39: NLP and privacy concerns
- Day 40: Future trends and emerging technologies in NLP
Week 9: Final Projects and Presentations
- Students work on their NLP projects
- Guidance and support from the instructor
- Final project presentations and peer evaluations
The course structure and duration is suggestive. For customized course, please contact us. We will be providing customized course which will be suitable for your organizational goal.
Please contact at info@instadatahelp.com or call at +91 9903726517 to know further about the course.
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