MeToo: Sentiment Analysis using Neural Networks (Grand Challenge)

In the contemporary world, wide-range online social data has become a valuable tool in studying global movements and their impact on people as well as the people's impact on them. One such movement, #MeToo has led hitherto unknown victims of sexual assault to come out and openly share their personal experiences. While a lot of people have responded positively towards the movement, some have not. Our work attempts to study the data that we have gathered from Twitter and generate a better understanding of the MeToo movement's impact on society and vice versa. We use three different model architectures, a Convolutional Neural Network, a Recurrent Neural Network and a BERT transformer to classify the collected tweets on the basis of their attitude towards the people who have come out and the movement in general. The source to our GitHub project can be found at: https://github.com/ahmadkhan242/MeToo.