Natural Language Processing (NLP)

Procesamiento del lenguaje natural (PLN) is a subfield of artificial intelligence that focuses on the development of algorithms and statistical models that enable computers to process, understand, and generate human language. This technology has numerous applications in various industries, including customer service, data analysis, and content creation. PLN involves the use of natural language processing (NLP) techniques, such as tokenization, part-of-speech tagging, and named entity recognition, to extract insights and meaning from unstructured text data. The goal of PLN is to enable computers to comprehend and generate language in a way that is similar to human communication. This is achieved through the development of machine learning models that can learn from large datasets of text and adapt to new language patterns and nuances. PLN has many practical applications, including language translation, sentiment analysis, and text summarization. It also has the potential to revolutionize industries such as healthcare, finance, and education by enabling computers to analyze and understand vast amounts of text data.