Toward a New Hybrid Intelligent Sentiment Analysis using CNN- LSTM and Cultural Algorithms

Imtiez Fliss

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Paper

Toward a New Hybrid Intelligent Sentiment Analysis using CNN- LSTM and Cultural Algorithms

Topics: Data Science in Language Processing; Machine Learning of Language; Models of Computation and Algorithms for Natural Language Processing

In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI, 467-477, 2022 , Vienna, Austria

Author: Imtiez Fliss

Affiliation: National School of Computer Science, Manouba University, Tunisia

Keyword(s): Sentiment Analysis, Hybrid CNN-LSTM Classifier, Cultural Algorithms, Hyper-parameters Optimization.

Abstract: In this paper, we propose a new sentiment analysis approach based on the combination of deep learning and soft computing techniques. We use the GloVe word embeddings for feature extraction. For sentiment classification, we propose to combine CNN and LSTM to decide whether the sentiment among the text is positive or negative. To tune hyperparameters, this classifier is optimized using cultural algorithms.

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Paper citation in several formats:

Fliss, I. (2022). Toward a New Hybrid Intelligent Sentiment Analysis using CNN- LSTM and Cultural Algorithms. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 467-477. DOI: 10.5220/0010990400003116

@conference{nlpinai22,
author={Imtiez Fliss.},
title={Toward a New Hybrid Intelligent Sentiment Analysis using CNN- LSTM and Cultural Algorithms},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI},
year={2022},
pages={467-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010990400003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI
TI - Toward a New Hybrid Intelligent Sentiment Analysis using CNN- LSTM and Cultural Algorithms
SN - 978-989-758-547-0
IS - 2184-433X
AU - Fliss, I.
PY - 2022
SP - 467
EP - 477
DO - 10.5220/0010990400003116
PB - SciTePress