Linguagem Natural Compreensão (NLU) is a subfield of inteligência artificial focused on the interaction between computers and humans through natural language. NLU enables machines to comprehend, interpret, and respond to human language in a way that is both meaningful and contextually relevant.
NLU depende de várias técnicas da linguística, ciência da computação, and machine learning to decode the nuances of human language, such as syntax, semantics, and pragmatics. This involves several key processes:
- Tokenização: Breaking down text into smaller units, like words or phrases, to facilitate analysis.
- Etiquetagem de Partes do Discurso: Identifying the grammatical categories of words (nouns, verbs, adjectives, etc.) to understand their roles in sentences.
- Reconhecimento de Entidades Nomeadas (NER): Detecting and classifying key elements in the text, such as names of people, organizations, places, and dates.
- Análise de sentimento: Assessing the emotional tone behind a body of text to determine whether the sentiment is positive, negative, or neutral.
- Reconhecimento de Intenção: Understanding the purpose behind a user’s input, crucial for applications like chatbots and virtual assistants.
NLU is essential for applications such as virtual assistants (e.g., Siri, Alexa), chatbots, and automação de atendimento ao cliente, where understanding user inquiries and generating appropriate responses are vital for effective communication. The ultimate goal of NLU is to enable machines to process language as humans do, facilitating smoother and more natural interactions.