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Using the Natural Language Toolkit (NLTK), as well as other Python packages, to analyze text from Charles Dicken's classic novel, Great Expectations.

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NLP in Python

Text Analysis is the process of analyzing text data to better understand what is being said and the meaning behind it. In other words, it is natural language processing.

Natural language processing (NLP) is a subfield of artificial intelligence where computers process and understand human language.

We can see the word frequency (how many words appear more often in our text), run sentiment analysis (to determine if our text is generally positive or negative), and discover common topics in our text.

We'll use the Natural Language Toolkit (NLTK) Package, an industry standard, to perform natural language processing.

Leveraging these analyses can help us better understand human behavior, provide language-based solutions, and learn more about text products.

Common applications include translators (between two languages), spell checkers (on a text application), virtual assistants, and spam filter for filtering out spam emails.

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Using the Natural Language Toolkit (NLTK), as well as other Python packages, to analyze text from Charles Dicken's classic novel, Great Expectations.

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