Learn Natural Language Processing with Quiz Natural Language Processing (NLP) is a field of computer science and artificial intelligence concerned with the interaction between computers and human (natural) languages. It involves the development of algorithms and computational models that enable machines to understand, interpret, generate, and respond to human language. The book covers the following with Quiz. 1. Introduction to Natural Language Processing What is Natural Language Processing (NLP) Applications of NLP NLP vs. Computational Linguistics NLP vs. Speech Recognition NLP vs. Text Mining NLP vs. Machine Translation 2 Text Pre-processing Tokenization Stopword Removal Stemming and Lemmatization Lowercasing and Uppercasing Punctuation and Special Character Removal Removing HTML and XML Markup 3. Text Representation and Feature Engineering One-hot Encoding N-grams Term Frequency-Inverse Document Frequency (TF-IDF) Word Embeddings 4. Sentiment Analysis What is Sentiment Analysis Sentiment Analysis Techniques Sentiment Analysis Use Cases Sentiment Analysis Tools and Libraries 5. Named Entity Recognition What is Named Entity Recognition Named Entity Recognition Techniques Named Entity Recognition Use Cases Named Entity Recognition Tools and Libraries 6. Part-of-Speech Tagging What is Part-of-Speech Tagging Part-of-Speech Tagging Techniques Part-of-Speech Tagging Use Cases Part-of-Speech Tagging Tools and Libraries 7. Text Classification What is Text Classification Text Classification Techniques Text Classification Use Cases Text Classification Tools and Libraries 8. Topic Modeling What is Topic Modeling Topic Modeling Techniques Topic Modeling Use Cases Topic Modeling Tools and Libraries 9. Text Summarization What is Text Summarization Text Summarization Techniques Text Summarization Use Cases Text Summarization Tools and Libraries 10. Advanced NLP Techniques Machine Translation Text Generation Chatbots and Dialogue Systems Question Answering Systems 11. NLP in Production Deploying NLP Models Scaling NLP Solutions NLP in the Cloud 12. Conclusion and Future of NLP The Future of NLP NLP and AI Integration NLP Challenges and Opportunities
