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美国音乐奖推文 2018

美国音乐奖推文 2018

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News,Music,Email and Messaging,Exploratory Data Analysis,Text Mining Classification

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    README.md

    Context The 2018 edition of American Music Awards is four days after these tweets were gathered. See if there are any indications that could predict winners. Twitter voting was also allowed on Twitter. The tweet that announced this and the retweeters' IDs were also collected. Content 3,283 tweets that include the official hashtag #AMAs 2,300 user ID (people who retweeted the Twitter voting tweet) Acknowledgements I wrote wrapper functions to get data from the Twitter API and have it directly in a DataFrame. You can get the package [advertools](https://github.com/eliasdabbas/advertools/) by simply running `pip install advertools` Now it's hard to resist not generating Twitter datasets! This work is based on the Python package `twython` that interfaces with Twitter and does the heavy lifting. Thank you! Inspiration Will the Twitter voting results be similar to regular voting? Will it affect it? Who are the top tweeters, and are they affecting the conversation in a any specific way?
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