Question: Can someone help me How to extract articles from HTML then using Natural Language toolkit (NLTK), articles first tokenized into sentences, then these sentences were

Can someone help me How to extract articles from HTML then using Natural Language toolkit (NLTK), articles first tokenized into sentences, then these sentences were tokenized into words to identify Part Of Speech tags of each word, such as noun, verb, adjective, etc , then using morphological analyser from the NLTK to obtain the root words, For example like foxes and fox, women and woman, or laughing, laughter and laugh using python?

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