Sentiment Analysis Using Bi-CARU with Recurrent CNN Models

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

For many natural language processing tasks, sentiment analysis has become increasingly important for extracting meaningful information from social media data. With the out-performance of neural network technology, the task of sentiment analysis can be addressed by advanced deep learning models. In this work, a combination model of Bidirectional-CARU (Bi-CARU) and Recurrent CNN is introduced to the sentiment analysis tasks. The proposed Bi-CAUR consists of three layers designed to obtain the main features of the input sequence, which can alleviate the long-term dependency problem and perform kernel information filtering from concrete to abstract, effectively improving the performance of the intermediate network on this problem. Next, the recursive structure of the CNN is connected to Bi-CARU to determine the sentiment analysis. The proposed Recurrent CNN implementation accepts features produced by its own previous convolution and pooling, which incorporates the performance of a CNN and requires only fewer parameters. Experimental results show that we are slightly more accurate, achieve faster convergence, and require fewer training parameters.

Original languageEnglish
Title of host publication2023 8th International Conference on Smart and Sustainable Technologies, SpliTech 2023
EditorsPetar Solic, Sandro Nizetic, Joel J. P. C. Rodrigues, Joel J. P. C. Rodrigues, Joel J. P. C. Rodrigues, Diego Lopez-de-Ipina Gonzalez-de-Artaza, Toni Perkovic, Luca Catarinucci, Luigi Patrono
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789532901283
DOIs
Publication statusPublished - 2023
Event8th International Conference on Smart and Sustainable Technologies, SpliTech 2023 - Hybrid, Split/Bol, Croatia
Duration: 20 Jun 202323 Jun 2023

Publication series

Name2023 8th International Conference on Smart and Sustainable Technologies, SpliTech 2023

Conference

Conference8th International Conference on Smart and Sustainable Technologies, SpliTech 2023
Country/TerritoryCroatia
CityHybrid, Split/Bol
Period20/06/2323/06/23

Keywords

  • Bi-CARU
  • Chebyshev Pooling
  • Probability Distribution
  • Recurrent CNN
  • Sentiment Analysis

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