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Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human language. It involves the use of algorithms and computational models to process and analyze natural language data, such as text and speech.
NLP allows computers to understand, interpret, and respond to human language in a human-like manner. This includes tasks such as text classification, sentiment analysis, language translation, information retrieval, and question answering.
Some common applications of NLP include virtual assistants (such as chatbots and voice assistants), machine translation, spam detection, language modeling, and sentiment analysis for social media monitoring.
NLP involves various techniques and methods, including statistical models, machine learning algorithms, deep learning, and linguistics. It often requires preprocessing steps like tokenization, lemmatization, and stemming to convert raw text into a format that computers can understand and analyze.
Overall, NLP plays a crucial role in bridging the gap between human language and machine understanding, enabling applications that can process and generate natural language content efficiently.