![]() Let's clean two text files containing clickbait and non clickbait headlines for 16,000 articles each. This data is used from a paper titled: Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media at 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Our goal here is to get the most common words used in both clickbait and non-clickbait headlines. If using docker is still unclear for you, you can see why we use docker tutorial ezzeddin/clean-data is the docker image name. ![]()
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