[HTML][HTML] Sentiment analysis: A survey on design framework, applications and future scopes

M Bordoloi, SK Biswas - Artificial intelligence review, 2023 - Springer
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

Indobertweet: A pretrained language model for indonesian twitter with effective domain-specific vocabulary initialization

F Koto, JH Lau, T Baldwin - arXiv preprint arXiv:2109.04607, 2021 - arxiv.org
We present IndoBERTweet, the first large-scale pretrained model for Indonesian Twitter that
is trained by extending a monolingually-trained Indonesian BERT model with additive …

[HTML][HTML] A content and sentiment analysis of Greek tweets during the pandemic

D Kydros, M Argyropoulou, V Vrana - Sustainability, 2021 - mdpi.com
During the time of the coronavirus, strict prevention policies, social distancing, and limited
contact with others were enforced in Greece. As a result, Twitter and other social media …

[HTML][HTML] An evolutionary-based sentiment analysis approach for enhancing government decisions during COVID-19 pandemic: The case of jordan

R Obiedat, O Harfoushi, R Qaddoura, L Al-Qaisi… - Applied Sciences, 2021 - mdpi.com
The world has witnessed recently a global outbreak of coronavirus disease (COVID-19).
This pandemic has affected many countries and has resulted in worldwide health concerns …

[HTML][HTML] Improving SVM performance for type II diabetes prediction with an improved non-linear kernel: Insights from the PIMA dataset

MS Reza, U Hafsha, R Amin, R Yasmin… - Computer Methods and …, 2023 - Elsevier
Type 2 diabetes is a chronic metabolic disease that affects a significant portion of the
worldwide people. Prediction of this disease using different machine learning (ML) based …

[HTML][HTML] Enhancing sentiment classification performance using hybrid query expansion ranking and binary particle swarm optimization with adaptive inertia weights

PH Prastyo, R Hidayat, I Ardiyanto - ICT Express, 2022 - Elsevier
Abstract Machine learning-based sentiment classification is the best-performing method to
understand public sentiment. However, the method has some problems, such as noisy …

Sentiment analysis on social media for emotional prediction during COVID‐19 pandemic using efficient machine learning approach

K Sivanantham - Computational intelligence and healthcare …, 2021 - Wiley Online Library
The growth of social websites, electronic media, and blogging services is increased day by
day, and they contribute many user messages like customer comments, reviews, and …

[PDF][PDF] Optimal feature selection using novel flamingo search algorithm for classification of COVID-19 patients from clinical text

AY Mahdi, SS Yuhaniz - Math. Biosci. Eng, 2023 - aimspress.com
Though several AI-based models have been established for COVID-19 diagnosis, the
machine-based diagnostic gap is still ongoing, making further efforts to combat this epidemic …

Perbandingan Metode Naïve Bayes Classifier Dan Support Vector Machine Pada Kasus Analisis Sentimen Terhadap Data Vaksin Covid-19 Di Twitter

RA Raharjo, IMG Sunarya… - … : Jurnal Elektronika dan …, 2022 - journal.stekom.ac.id
Abstract Organisasi Kesehatan Dunia (WHO) secara resmi menyebut virus Covid-19
sebagai pandemi global, oleh karena itu semua negara di dunia berusaha meminimalkan …

Comparative study of covid-19 tweets sentiment classification methods

UN Wisesty, R Rismala, W Munggana… - … on information and …, 2021 - ieeexplore.ieee.org
Covid-19 is a disease caused by a virus and has become a pandemic in many countries
around the world. The disease not only affects public health, but also affects other aspects of …