How do you handle text analysis for search engines with noisy unstructured or incomplete data?
Text analysis for search engines with noisy unstructured or incomplete data requires preprocessing techniques such as data cleaning, tokenization, stemming, and stop-word removal. Additionally, advanced methods like natural language processing (NLP) and machine learning algorithms can be employed to enhance text analysis accuracy.
March 19, 2024