The Natural Language Toolkit (NLTK) is a powerful Python library used for working with human language data (text). It provides easy-to-use interfaces to over 50 corpora and lexical resources, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning. NLTK is widely used in academic and research settings for teaching and developing natural language processing (NLP) applications. Common use cases include text analysis, sentiment analysis, and language modeling, making it a fundamental tool for anyone working in NLP.
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