An LSTM model for Twitter Sentiment Analysis

• URL: http://arxiv.org/abs/2212.01791v1
• Date: Sun, 4 Dec 2022 10:42:46 GMT
• Title: An LSTM model for Twitter Sentiment Analysis
• Authors: Md Parvez Mollah
• Abstract summary: 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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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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