An LSTM model for Twitter Sentiment Analysis

2022/12/04 by Mollah, Md Parvez
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Social and Information Networks (cs.SI)

paper · doi:10.48550/arxiv.2212.01791

Abstract

Sentiment analysis on social media such as Twitter provides organizations and individuals an effective way to monitor public emotions towards them and their competitors. As a result, sentiment analysis has become an important and challenging task. In this work, we have collected seven publicly available and manually annotated twitter sentiment datasets. We create a new training and testing dataset from the collected datasets. We develop an LSTM model to classify sentiment of a tweet and evaluate the model with the new dataset.

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