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How we Used NLP and Django to Build a Movie Suggestion Website & Twitterbot

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How we Used NLP and Django to Build a Movie Suggestion Website & Twitterbot
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3
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52
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CC Attribution - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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The Cleveland International Film Festival (CIFF) is a two-week long event featuring hundreds of foreign, independent, and new films making their debut on the silver screen. For anyone less than a film buff, choosing a movie to watch at the film fest is a hard choice: there are no reviews, no IMDb info, and no Netflix/Hulu suggestions. Yes, it’s truly byzantine in that one must actually read all the movie descriptions to decide which one to watch. With a handful of Python libraries, and 2 days, we developers at CodeRed built a movie recommendation engine for the CIFF. This talk outlines each step we took to build the recommendation engine, website, and twitterbot all centered around a Django project. Overall, this talk offers a complete look at the various parts and pieces that go into building a feature-full Django site, as well as exposure to doing entry-level Artificial Intelligence in Python.