Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities
The fields of machine learning and Web technologies have witnessed significant
development in the last years. This caused a ceaseless and rapid growth in sharing of the …
development in the last years. This caused a ceaseless and rapid growth in sharing of the …
A proposed sentiment analysis deep learning algorithm for analyzing COVID-19 tweets
With the rise in cases of COVID-19, a bizarre situation of pressure was mounted on each
country to make arrangements to control the population and utilize the available resources …
country to make arrangements to control the population and utilize the available resources …
Social media sentiment analysis based on COVID-19
In today's world, the social media is everywhere, and everybody come in contact with it every
day. With social media datas, we are able to do a lot of analysis and statistics nowdays …
day. With social media datas, we are able to do a lot of analysis and statistics nowdays …
Data harmonization for heterogeneous datasets: a systematic literature review
As data size increases drastically, its variety also increases. Investigating such
heterogeneous data is one of the most challenging tasks in information management and …
heterogeneous data is one of the most challenging tasks in information management and …
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 …
Distracted driver detection by combining in-vehicle and image data using deep learning
F Omerustaoglu, CO Sakar, G Kar - Applied Soft Computing, 2020 - Elsevier
Distracted driving is among the most important reasons for traffic accidents today. Recently,
there is an increasing interest in building driver assistance systems that detect the actions of …
there is an increasing interest in building driver assistance systems that detect the actions of …
[HTML][HTML] Visual sentiment analysis using deep learning models with social media data
Analyzing the sentiments of people from social media content through text, speech, and
images is becoming vital in a variety of applications. Many existing research studies on …
images is becoming vital in a variety of applications. Many existing research studies on …
Attention-based modality-gated networks for image-text sentiment analysis
Sentiment analysis of social multimedia data has attracted extensive research interest and
has been applied to many tasks, such as election prediction and products evaluation …
has been applied to many tasks, such as election prediction and products evaluation …
Sentiment analysis in textual, visual and multimodal inputs using recurrent neural networks
JV Tembhurne, T Diwan - Multimedia Tools and Applications, 2021 - Springer
Social networking platforms have witnessed tremendous growth of textual, visual, audio, and
mix-mode contents for expressing the views or opinions. Henceforth, Sentiment Analysis …
mix-mode contents for expressing the views or opinions. Henceforth, Sentiment Analysis …
Social image sentiment analysis by exploiting multimodal content and heterogeneous relations
In the circumstance of social big data, sentiment analysis is attracting increasing attention for
its capacity in understanding individuals' attitudes and feelings. Traditional sentiment …
its capacity in understanding individuals' attitudes and feelings. Traditional sentiment …