A survey on sentiment analysis and its applications

TA Al-Qablan, MH Mohd Noor, MA Al-Betar… - Neural Computing and …, 2023 - Springer
Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …

[HTML][HTML] Estimating the Severity of Oral Lesions Via Analysis of Cone Beam Computed Tomography Reports: A Proposed Deep Learning Model

S Mahdavifar, SM Fakhrahmad, E Ansarifard - International Dental Journal, 2025 - Elsevier
Objectives Several factors such as unavailability of specialists, dental phobia, and financial
difficulties may lead to a delay between receiving an oral radiology report and consulting a …

Visualizing change and correlation of topics with LDA and agglomerative clustering on COVID-19 vaccine tweets

BS Lin - IEEE Access, 2023 - ieeexplore.ieee.org
More than three years have passed since the COVID-19 outbreak. The end of the pandemic
is in sight, and even some countries have declared COVID-19 as endemic. During the …

Estimating the severity of dental and oral problems via sentiment classification over clinical reports

S Mahdavifar, SM Fakhrahmad, E Ansarifard - arxiv preprint arxiv …, 2024 - arxiv.org
Analyzing authors' sentiments in texts as a technique for identifying text polarity can be
practical and useful in various fields, including medicine and dentistry. Currently, due to …

Bibliometric Analysis of Scientific Literature on Mental Health Research in Africa

C Egwuogu, E Ibeke, P Chaurasia, C Iwendi… - … on Advances in …, 2023 - Springer
This bibliometric study presents a comprehensive summary of literature published on mental
health research in Africa. The region has a large number of scientific studies conducted in …

COVID-19 in the UK: Sentiment and Emotion Analysis of Tweets Over Time

O Amujo, E Ibeke, C Iwendi, Z Boulouard - International Conference on …, 2023 - Springer
We performed an analysis of tweets concerning the COVID-19 pandemic in the UK over a
two-year period, selecting fifteen timelines. Over 110,000 tweets were obtained from Twitter …