TY - GEN
T1 - Sequential Models for Sentiment Analysis
T2 - 21st Mexican International Conference on Artificial Intelligence, MICAI 2022
AU - Adebanji, Olaronke Oluwayemisi
AU - Gelbukh, Irina
AU - Calvo, Hiram
AU - Ojo, Olumide Ebenezer
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Sentiment analysis has been a focus of study in Natural Language Processing (NLP) tasks in recent years. In this paper, we propose the task of analysing sentiments using five sequential models and we compare their performance on a Twitter dataset. We used the bag of words, as well as the tf-idf, and the Word2Vec embeddings, as input features to the models. The precision, recall, f1 and accuracy scores of the proposed models were used to evaluate the models’ performance. The Bi-LSTM model with Word2Vec embedding performs the best against the dataset, with an accuracy of 84%.
AB - Sentiment analysis has been a focus of study in Natural Language Processing (NLP) tasks in recent years. In this paper, we propose the task of analysing sentiments using five sequential models and we compare their performance on a Twitter dataset. We used the bag of words, as well as the tf-idf, and the Word2Vec embeddings, as input features to the models. The precision, recall, f1 and accuracy scores of the proposed models were used to evaluate the models’ performance. The Bi-LSTM model with Word2Vec embedding performs the best against the dataset, with an accuracy of 84%.
KW - Deep learning algorithm
KW - Machine learning algorithm
KW - Sentiment analysis
KW - Sequence modeling
KW - Word embedding
UR - http://www.scopus.com/inward/record.url?scp=85142801107&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-19496-2_17
DO - 10.1007/978-3-031-19496-2_17
M3 - Contribución a la conferencia
AN - SCOPUS:85142801107
SN - 9783031194955
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 227
EP - 235
BT - Advances in Computational Intelligence - 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Proceedings
A2 - Pichardo Lagunas, Obdulia
A2 - Martínez Seis, Bella
A2 - Martínez-Miranda, Juan
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 October 2022 through 29 October 2022
ER -