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An LSTM model for Twitter Sentiment Analysis

2022-12-04 10:42:46
Md Parvez Mollah
arXiv_CL
         
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.

Abstract (translated)

URL

https://arxiv.org/abs/2212.01791

PDF

https://arxiv.org/pdf/2212.01791.pdf

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