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      An LSTM model for Twitter Sentiment Analysis

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          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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          Author and article information

          Journal
          04 December 2022
          Article
          2212.01791
          5ad77b2d-670a-4f51-90b3-fb7c24874abc

          http://creativecommons.org/licenses/by/4.0/

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          Custom metadata
          3 pages
          cs.CL cs.SI

          Social & Information networks,Theoretical computer science
          Social & Information networks, Theoretical computer science

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