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Victim blaming statement detector

A tool to analyse news headlines on the basis of whether it should be used or not. It uses basic NLP, the statement is analysed based on the words it uses, and the combination used for those words.

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Victim blaming statement detector

A tool to analyse news headlines on the basis of whether it should be used or not. It uses basic NLP, the statement is analysed based on the words it uses, and the combination used for those words.


The problem Victim blaming statement detector solves

Media plays a very important role in today's society. That gives them a great power. But nowadays we have noticed, news headlines having some statements which somehow we feel shouldn't be there. Maybe they are victim blaming, maybe they use some wrong words, some wrong analogies. My tool will be used to filter out such statements, and give it a score on the scale of 0-10.0 where 10 being the worst. Basic knowledge of NPL helped me to work over this project.

Challenges I ran into

Limited number of datasets available was the biggest challenge for us. We had to manually build our own datasets using data collected by people around us. We had to use this limited amount of manually created data, to run our tool and update the data automatically.

Technologies used

Discussion