MeToo Tweets Sentiment Analysis Using Multi Modal frameworks

TL;DR

This paper introduces a multi-modal ensemble framework combining CNN, BiLSTM, and DNN for sentiment analysis of MeToo movement tweets, achieving a top-5 ranking in a challenge.

Contribution

It presents a novel ensemble approach integrating multiple neural networks for sentiment detection in social media tweets.

Findings

Achieved 5th place in the BigMM 2020 challenge

Demonstrated effectiveness of multi-modal neural ensemble models

Provided detailed analysis of model performance

Abstract

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