Câu 18: NCA-GENL: Generative AI LLM

Why might stemming or lemmatizing text be considered a beneficial preprocessing step in the context of computing TF-IDF vectors for a corpus?

1. A. It reduces the number of unique tokens by collapsing variant forms of a word into their root form, potentially decreasing noise in the data. — đáp án hiện tại
2. B. It enhances the aesthetic appeal of the text, making it easier for readers to understand the document’s content.
3. C. It increases the complexity of the dataset by introducing more unique tokens, enhancing the distinctiveness of each document.
4. D. It guarantees an increase in the accuracy of TF-IDF vectors by ensuring more precise word usage distinction.