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  In [39]:. If we want to create a model, the model might need all the words that make up the sentence separately. These papers provide a breadth of information about NLP [Natural language processing] that is generally useful and interesting from a data science perspective. In [97]:. NLP is significant in light of the fact that it helps settle ambiguity in language and adds valuable numeric structure to the information for some downstream applications, for example, speech recognition or text analytics. In [51]:.  


Harvard CSA | Lecture Natural Language Processing - Privacy & Transparency



  Reviewing the tweets that include URL's. In [72]:. Constantin Orasan. How do we understand the meaning of a sentence? These papers provide a breadth of information about NLP [Natural language processing] that is generally useful and interesting from a data science perspective.    


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