CS5990 Assessed Coursework Propaganda Sentence Classification Object oriented language Assessment and Tutor Proposal

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CS5990 Assessed Coursework Propaganda Sentence Classification Object oriented language

Assessment No: 2

CS5990|Object oriented language

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CS5990 Assessed Coursework Propaganda Sentence Classification Object oriented language

Propaganda Sentence Classification


Task

Propaganda is the new weapon that influences people's opinions or beliefs about a certain ideology, whether that ideology is right or wrong. This assignment requires you to design a propaganda content identifier. Given a sentence from a news article, you are required to build an intelligent system that can detect whether the sentence is propagandistic or not. The method should be implemented in Python. The submission will be evaluated from two aspects:

  • (i) the quality of the report and
  • (ii) the performance of the submitted model on some held-out test data.

 

Data and Sample Code

On the course Moodle page, the following resources are provided to help you develop your propaganda classifier:

  • Dataset A dataset (coursework2_train.tsv) with ~11k data entries is provided. Each entry includes an English sentence from a news article, the corresponding news’ title, and a label that indicates whether the sentence is propagandistic or not.
  • Sample codeTwo Jupyter Notebooks are provided: cw2-train.ipynb presents the sample code for reading the data , developing a simple neural model and saving the model for future re-use; cw2-test.ipynb provides sample code for re-loading the saved model and evaluating its performance on test data.

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