Systematic reviews in sentiment analysis: a tertiary study
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
A survey on sentiment analysis and its applications
Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …
Facebook, and Instagram has become a very important task at present. Analyzing the …
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray
Recently, the whole world became infected by the newly discovered coronavirus (COVID-
19). SARS-CoV-2, or widely known as COVID-19, has proved to be a hazardous virus …
19). SARS-CoV-2, or widely known as COVID-19, has proved to be a hazardous virus …
Topic-level sentiment analysis of social media data using deep learning
Due to the inception of Web 2.0 and freedom to facilitate the dissemination of information,
sharing views, expressing opinions with regards to current world level events, services …
sharing views, expressing opinions with regards to current world level events, services …
[PDF][PDF] End-to-end data authentication deep learning model for securing IoT configurations
Compared to other biometrics, electrocardiograms (ECGs) have gained widespread
acceptability as mediums for validating animateness in numerous security applications …
acceptability as mediums for validating animateness in numerous security applications …
Interpretable multimodal sentiment classification using deep multi-view attentive network of image and text data
IKS Al-Tameemi, MR Feizi-Derakhshi… - IEEE …, 2023 - ieeexplore.ieee.org
Multimodal data can convey user emotions and feelings more effectively and interactively
than unimodal content. Thus, multimodal sentiment analysis (MSA) research has recently …
than unimodal content. Thus, multimodal sentiment analysis (MSA) research has recently …
Sentiment analysis using deep learning techniques: a comprehensive review
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …
necessity of using automated sentiment analysis techniques has significantly increased …
A deep multi-level attentive network for multimodal sentiment analysis
Multimodal sentiment analysis has attracted increasing attention with broad application
prospects. Most of the existing methods have focused on a single modality, which fails to …
prospects. Most of the existing methods have focused on a single modality, which fails to …
A Language-independent Network to Analyze the Impact of COVID-19 on the World via Sentiment Analysis
Towards the end of 2019, Wuhan experienced an outbreak of novel coronavirus, which soon
spread worldwide, resulting in a deadly pandemic that infected millions of people around the …
spread worldwide, resulting in a deadly pandemic that infected millions of people around the …
Visual sentiment analysis from disaster images in social media
The increasing popularity of social networks and users' tendency towards sharing their
feelings, expressions, and opinions in text, visual, and audio content have opened new …
feelings, expressions, and opinions in text, visual, and audio content have opened new …