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February 23, 2026International Journal of Web Engineering and Technology0 citations

Sentiment Classification Using Hierarchical Attention Convolutional Network with Twitter Data

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YSYedlla SatyamKRK Rajchandar

Key Points

  • The aim is to improve sentiment classification by utilizing a hierarchical attention convolutional network with Twitter data.
  • Developed a hierarchical attention convolutional network for analysis.
  • Used Twitter data for sentiment classification tasks.
  • Analyzed performance compared to traditional methods.
  • Achieved improved accuracy in sentiment classification tasks.
  • Demonstrated effectiveness in understanding public sentiment through social media.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Satyam et al. (2026) studied this question.

synapsesocial.com/papers/699ba09872792ae9fd87085fhttps://doi.org/10.1504/ijwet.2026.10076446
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