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Identify aggressive comments (Korean) on YouTube using LSTM model

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Aggressive comment classifier

Identify aggressive comments on youtube using LSTM model.

Dataset

We used Selenium and Beautiful Soup to crawl comments from youtube videos based on keywords. We manually graded each comment in to 3 scales: (1) normal (2) slightly aggressive (3) very aggressive.

Data pre-processing

In order to train model on the collected dataset, we use the following steps to tokenize natural language into numerical vectors.

Model

lstm

Results

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Identify aggressive comments (Korean) on YouTube using LSTM model

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