Natural Language Processing (NLP): 5 topics to know
Natural Language Processing (NLP) is a field that enables computers to understand, interpret, and generate human language using algorithms, statistical models, and machine learning. It is crucial for analyzing unstructured text data and has applications in chatbots, sentiment analysis, and machine translation. NLP faces challenges such as language ambiguity and data variability. Key preprocessing steps include tokenization, stemming, and lemmatization. Popular NLP libraries include NLTK and spaCy. Advanced concepts like deep learning and transformers enhance NLP capabilities. Despite challenges, NLP continues to transform industries by improving human-computer interactions.
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