Noisy data refers to information that contains errors, inconsistencies, or irrelevant elements. This can affect the accuracy and reliability of data analysis and machine learning models, requiring cleaning and preprocessing to improve quality.
Text analysis for search engines with noisy unstructured or incomplete data requires preprocessing techniques such as data cleaning, tokenization, stemming,…