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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
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
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
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 …