On Adapting the DIET Architecture and the Rasa Conversational Toolkit for the Sentiment Analysis Task

Author:

Arevalillo-Herraez Miguel1ORCID,Arnau-Gonzalez Pablo1,Ramzan Naeem2ORCID

Affiliation:

1. Departament d’Informática, Universitat de València, Valencia, Burjassot, Spain

2. School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley, U.K

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference73 articles.

1. On the role of text preprocessing in neural network architectures: An evaluation study on text categorization and sentiment analysis;camacho-collados;arXiv 1707 01780,2017

2. Exploring transformers in emotion recognition: A comparison of BERT, DistillBERT, RoBERTa, XLNet and ELECTRA;cortiz;arXiv 2104 02041,2021

3. Sentiment Analysis Using Deep Learning Approach

4. Deep learning for sentiment analysis: A survey

5. Language models are unsupervised multitask learners;radford;OpenAIRE blog,2019

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