Natural Language Processing

Understanding, generating, and working with human language using AI.

Text Preprocessing

Tokenization, embeddings, vectorization, and preparing text for models.

Language Models

N-grams, word embeddings, and neural language modeling fundamentals.

Information Extraction

Named entity recognition, relation extraction, and structured knowledge from text.

Sentiment Analysis

Opinion mining, text classification, and understanding sentiment in text.

Machine Translation

Sequence-to-sequence models, attention mechanisms, and multilingual NLP.

Question Answering

Reading comprehension, open-domain QA, and knowledge-grounded systems.

Text Summarization

Extractive and abstractive summarization of documents and long-form text.

Dialogue Systems

Chatbots, task-oriented dialogue, conversational AI, and dialogue management.

Semantic Similarity

Sentence embeddings, similarity metrics, and semantic search.

LDA, neural topic models, and discovering themes in text corpora.

Document Understanding

OCR, layout analysis, table extraction, and structured document parsing.