Clickbait detection with machine learning classification

A machine learning project with the goal of detecting clickbait from a given dataset. The training and testing data is similar with the ones existing in [login to view URL] Along with the project, I need a detailed documentation with how to run it, how it works, the technologies used and with the obtained results. My deadline is arround 2, 3 weeks.

From the data presented in the Clickbait Challenge, I don’t need all of the information, only a part of them (ex: withouth parameters texts). One important thing is collecting data also from the image (if existent) for every entry, and use that information too. We can discuss more details in the next step.

So i need a new model for the training, with a significant number of features (useful) concetrated on the title, image, description and url (maybe). I have a list of papers on this topic, that can be used as an inspiration/example for the work:

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[login to view URL]~niloy/PAPER/[login to view URL]

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Beceriler: Machine Learning (ML), Python, Tensorflow

Daha fazlasını gör: clickbait dataset, how to detect clickbait, google clickbait challenge, clickbait test, clickbait software, converter url avi online, freelancer machine learning, cloning websites changing url content, machine learning vancouver, freelance machine learning, machine learning companies vancouver, megavideo url downloader online, machine learning mehreen, content online services inc, check url availability online, url avi online, convert url mp3 online, url avi online converter, url mp3 online converter, url mp3 online

İşveren Hakkında:
( 0 değerlendirme ) Cluj-Napoca, Romania

Proje NO: #17504634

Bu iş için 11 freelancer ortalamada €216 teklif veriyor


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