Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and humans through natural language. It involves the ability of machines to understand, interpret, and generate human language in a valuable way. Key characteristics of NLP include language modeling, sentiment analysis, translation, and speech recognition. Common use cases for NLP include chatbots, virtual assistants, text summarization, and language translation services. By leveraging machine learning and linguistic rules, NLP enables computers to process and analyze vast amounts of natural language data efficiently.
Learn about n-grams, their characteristics, and common use cases in natural language processing.
AI FundamentalsLearn about the Naive Bayes algorithm, a simple yet effective method for classification tasks in dat...
AI FundamentalsLearn about the Naive Bayes Classifier, a popular probabilistic algorithm for text classification an...
AI FundamentalsLearn about Named Entity Recognition (NER), a key NLP task that identifies and classifies entities i...
AI Fundamentals