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Anti Spam Software for University Mail

The ProfessionAI company wants to create a library capable of analyzing received emails. Specifically, the CEO requests to identify the SPAM emails on which to carry out content analysis. The CTO specifically provides you with a dataset and asks you to:

  • Train a classifier to identify SPAM;
  • Identify the main topics among the SPAM emails present in the dataset;
  • Calculate the semantic distance between the topics obtained, to deduce their heterogeneity;
  • Extract the Organizations quoted the NON-SPAM emails.

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