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  • The user wants to create a lexical dispersion plot that shows where words show up in the text in a chart

    No due date
    1/1 issues closed
  • The user wants to get output for where a word shows up in a text. Like in sentences.

    No due date
    1/1 issues closed
  • The user wants to know exactly how many times a word shows up in a text.

    No due date
    1/1 issues closed
  • The user wants to generate a graph that shows a distribution of the top 50 words in the selected text.

    No due date
    1/1 issues closed
  • All code needs to be tested and debugged for the Mac User.

    No due date
    7/7 issues closed
  • All code in our project should be tested and debugged, and ultimately "work" for the user.

    No due date
    0/1 issues closed
  • Need to checkout Tkinter and make the Interface.

    No due date
    0/1 issues closed
  • Need the core code from the NLTK book.

    No due date
    6/6 issues closed
  • Assigned March 30, 2014 The proposal will consist of: - an outline of the document - the proposal itself - materials used/needed (objects) - the set-up for getting the project done (procedures/actions) - our project and user milestones

    No due date
    1/1 issues closed
  • Date assigned: March 30, 2014 Create the GitHub Repo where our team can collaborate on our NLP project.

    No due date
    1/1 issues closed
  • We need to create a user story that will represent the point of our project. Grammar of a user story: As a __________ <role/situation> I want to ________ <task/goal> So that _________ <outcome/motivation> Gist of the story: User wants to learn more about how to apply NLP. Scenario: User goes onto the Heroku site and first sees some basic information about NLP (history, how and where it is used today, etc.). Then he scrolls down and sees the interactive area of the site where he can participate in interrogating some texts. There are text fields for him to input some data and when he does these actions, he gets to see some visualization of the data! Thus he gets to see how NLP works and how cool it is.

    Overdue by 11 year(s)
    Due by April 6, 2014
    1/1 issues closed