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A survey on sentiment analysis methods, applications, and challenges
The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
Sentiment analysis using deep learning architectures: a review
Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …
in the form of opinions and views about any topic or article, which results in an enormous …
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction
N **g, Z Wu, H Wang - Expert Systems with Applications, 2021 - Elsevier
Whether stock prices are predictable has been the center of debate in academia. In this
paper, we propose a hybrid model that combines a deep learning approach with a sentiment …
paper, we propose a hybrid model that combines a deep learning approach with a sentiment …
A survey on aspect-based sentiment classification
G Brauwers, F Frasincar - ACM Computing Surveys, 2022 - dl.acm.org
With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …
Deep learning for aspect-based sentiment analysis: a comparative review
The increasing volume of user-generated content on the web has made sentiment analysis
an important tool for the extraction of information about the human emotional state. A current …
an important tool for the extraction of information about the human emotional state. A current …
CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks
In current technological era, surveillance systems generate an enormous volume of video
data on a daily basis, making its analysis a difficult task for computer vision experts …
data on a daily basis, making its analysis a difficult task for computer vision experts …
Arabic text classification using deep learning models
Text classification or categorization is the process of automatically tagging a textual
document with most relevant labels or categories. When the number of labels is restricted to …
document with most relevant labels or categories. When the number of labels is restricted to …
[HTML][HTML] Natural language processing applied to tourism research: A systematic review and future research directions
The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …
considerable changes in the tourism industry. Artificial intelligence, in particular natural …
Multimodal sentimental analysis for social media applications: A comprehensive review
The analysis of sentiments is essential in identifying and classifying opinions regarding a
source material that is, a product or service. The analysis of these sentiments finds a variety …
source material that is, a product or service. The analysis of these sentiments finds a variety …
[PDF][PDF] An efficient dimension reduction based fusion of CNN and SVM model for detection of abnormal incident in video surveillance
R Sharma, A Sungheetha - Journal of Soft Computing Paradigm …, 2021 - researchgate.net
Performing dimensionality reduction in the camera captured images without any loss is
remaining as a big challenge in image processing domain. Generally, camera surveillance …
remaining as a big challenge in image processing domain. Generally, camera surveillance …