text annotation

Text annotation is a crucial step in natural language processing, aimed at structuring the marking of text data to identify and classify entities, relationships, and attributes within it. Its goal is to enhance the accuracy and efficiency of machine learning models by providing high-quality training data to optimize algorithm performance. Text annotation holds significant value in applications such as sentiment analysis, named entity recognition, and semantic role labeling, markedly improving the system's understanding and processing capabilities.