Språkprosessering

Språkprosessering, also known as Natural Language Processing (NLP), is a subfield of linguistics, computer science, and artificial intelligence that deals with the interaction between computers and human language. It focuses on enabling computers to understand, interpret, and generate human language in a valuable way. This involves a range of tasks that break down language into smaller components and analyze them.

Key areas within språkprosessering include tokenization, which is the process of breaking down text into individual words or tokens, and stemming or lemmatization, which reduces words to their root form. Part-of-speech tagging assigns grammatical categories to words, while named entity recognition identifies and classifies named entities like people, organizations, and locations. Syntactic analysis, or parsing, examines the grammatical structure of sentences.

Semantics is concerned with the meaning of words and sentences. Sentiment analysis aims to determine the emotional tone of a piece of text, whether it is positive, negative, or neutral. Further applications of språkprosessering are found in machine translation, text summarization, question answering systems, chatbots, and speech recognition. The goal is to bridge the gap between human communication and computer comprehension, leading to more intuitive and efficient human-computer interactions.