Using Watson NLU to help address bias in AI sentiment analysis What is Natural Language Understanding NLU?
The model’s training leverages web-scraped data, contributing to its exceptional performance across various NLP tasks. Rules-based approaches often imitate how humans parse sentences down to their fundamental parts. A sentence is first tokenized down to its unique words and symbols (such as a period indicating the end of a sentence). Preprocessing, such as stemming, then reduces a word to its stem or base form (removing suffixes like -ing or -ly). The resulting tokens are parsed to understand the structure of the sentence.
Entry-level LLB programs are available in both 3-year and 5-year formats. This website is using a security service to protect itself from online attacks. There are several actions...
