MeToo Tweets Sentiment Analysis Using Multi Modal frameworks
This work addresses sentiment analysis for social media data related to the MeToo movement, but it is incremental as it applies standard ensemble methods to a specific dataset.
The paper tackled sentiment analysis of MeToo movement tweets using an ensemble of CNN, BiLSTM, and DNN, achieving a score of 0.51491 and ranking 5th out of 10 teams in the IEEEBigMM 2020 Grand Challenge.
In this paper, We present our approach for IEEEBigMM 2020, Grand Challenge (BMGC), Identifying senti-ments from tweets related to the MeToo movement. The modelis based on an ensemble of Convolutional Neural Network,Bidirectional LSTM and a DNN for final classification. Thispaper is aimed at providing a detailed analysis of the modeland the results obtained. We have ranked 5th out of 10 teamswith a score of 0.51491