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Text mining libraries that can be used include Python's Natural Language Toolkit (NLTK), spaCy, gensim, scikitlearn, TensorFlow, PyTorch, which utilize deep learning techniques.
The process of quantifying through text mining involves many different steps.
For our proposed method, the text is tokenized by breaking it into small chunks and going through lemmatization to remove unimportant words, root extraction to find the basic form of words, and part-of-speech tagging to understand sentence structure and meaning.
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