Stopwords

In natural language processing, stopwords are words that are commonly used in a language but do not carry any significant meaning and are usually removed from text data to improve the performance of machine learning models. Examples of stopwords in English include 'the', 'and', 'a', 'an', 'in', 'of', etc. Removing stopwords can help reduce the dimensionality of text data and improve the accuracy of models by focusing on the more meaningful words. However, the removal of stopwords can also lead to the loss of important context and meaning in certain cases, such as sentiment analysis or topic modeling.
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