Description: Token classification is a fundamental process in the field of natural language processing (NLP) and artificial intelligence (AI). It involves the task of assigning labels to individual tokens in a text, where a ‘token’ can be a word, symbol, or sequence of characters that holds meaning. This process enables AI systems to understand and analyze textual content more effectively, facilitating the extraction of relevant information and comprehension of context. Token classification is essential for various applications, such as sentiment analysis, machine translation, and text generation. By labeling tokens, entities, grammatical categories, and semantic relationships can be identified, enhancing AI models’ ability to interact with human language more accurately and coherently. In summary, token classification is a key technique that allows machines to process and understand language more similarly to how humans do.
