The `StopWordsRemover` is a feature transformer in the PySpark ML library of Python. It helps in removing common words known as stop words from a text document or corpus. Stop words typically include words like "the", "is", "and", "a", etc., which do not contribute much to the meaning of a document. By removing these stop words, the `StopWordsRemover` aids in preprocessing text data for further natural language processing tasks such as sentiment analysis or text classification.
Python StopWordsRemover - 47 examples found. These are the top rated real world Python examples of pyspark.ml.feature.StopWordsRemover extracted from open source projects. You can rate examples to help us improve the quality of examples.