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Proposed Lesson: Exploratory Data Analysis of a Correspondence Text Corpus #91

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@acrymble

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@acrymble

The Programming Historian has received the following proposal for a lesson on 'Exploratory Data Analysis of a Correspondence Text Corpus with NLTK and NetworkX' by @zoews. The proposed learning outcomes of the lesson are:

  • To introduce readers to natural language processing (NLP) and network analysis techniques to explore textual communication between individuals.
  • To identify trends and nuances in textual data relevant to research questions
  • To utilize Python libraries and packages to explore a complex text corpus

We recognize that there is a potential for overlap with a current proposed lesson (#70) and I will speak to the other team to ensure an understanding and a clear space for both sets of authors.

In order to promote speedy publication of this important topic, we have agreed to a submission date of no later than 31 July 2017. The author agrees to contact the editor in advance if they need to revise the deadline.

If the lesson is not submitted by 31 July 2017, the editor will attempt to contact the author. If they do not receive an update, this ticket will be closed. The ticket can be reopened at a future date at the request of the author(s).

The main editorial contact for this lesson is @acrymble. If there are any concerns from the authors they can contact the Ombudsperson @ianmilligan1 or @amandavisconti.

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