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Codes of the Week

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Kaggle: GOP Debate Twitter Sentiment Analysis

The original challenge was to understand what people thought (based on Twitter discussions) of the US Republican Debate that took place in Cleveland. The dataset consist of an annotated 20,000 randomly selected tweets from that night using #GOPDebate and related hashtags. The annotation was carried out by contributors based on the following guidelines:

  • Is this tweet relevant and from a person? not from news outlet or a brand
  • What candidate was mentioned in the tweet? this include “no candidate option”
  • What subject was mentioned in the tweet? several options provided
  • What was the sentiment of the tweet? +ive, -ive and neutral

Questions of interest:

  • What issues resonated with voters?
  • Which candidates were viewed most negatively?
  • Are people really considering voting for a well-monied, sentient toupee?

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Guide to Data Science Competitions

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b3llm4r's avatarHappy Endpoints

“Don't worry about a thing,every littleSummer is finally here and so are the long form virtual hackathons. Unlike a traditional hackathon, which focus on what you can build in one place in one limited time span, virtual hackathons typically give you a month or more to work from where ever you like.

And for those of us who love data, we are not left behind. There are a number of data science competitions to choose from this summer. Whether it’s a new Kaggle challenge (which are posted year round) or the data science component of Challenge Post’s Summer Jam Series, there are plenty of opportunities to spend the summer either sharpening or showing off your skills.

The Landscape: Which Competitions are Which?

  • Kaggle
    Kaggle competitions have corporate sponsors that are looking for specific business questions answered with their sample data. In return, winners are rewarded handsomely, but you have to win first.
  • Summer Jam

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