Natural language processing techniques help address tasks like text classification, information extraction, and content generation. They can give the perception of machines being able to understand humans and respond more naturally.
Barbara Fusinska offers an overview of natural language processing and walks you through building a bag-of-words representation, using Python and its machine learning libraries, and then using it for text classification. This solution can be used to recognize the sentiment, category, or author of the document.
Barbara Fusinska is a machine learning engineer at Google. She has a strong software development background and is experienced in building diverse software systems. Barbara focuses on data science and big data; she believes in the importance of data and metrics when growing a successful business. Barbara still enjoys programming as well. She is a frequent speaker at conferences. You can read more on her blog.
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