Sentiment analysis using deep learning architectures: a review
A Yadav, DK Vishwakarma - Artificial Intelligence Review, 2020 - Springer
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 …
Social media analytics and business intelligence research: A systematic review
Evidently, online voice of customers (VoC) expressed in social media has emerged as
quality data for researchers who are willing to conduct customer-driven business …
quality data for researchers who are willing to conduct customer-driven business …
Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers
Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …
in recent years. Here we address the problem of sentiment analysis during critical events …
Traffic accident detection and condition analysis based on social networking data
Accurate detection of traffic accidents as well as condition analysis are essential to
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
Fuzzy rule based unsupervised sentiment analysis from social media posts
S Vashishtha, S Susan - Expert Systems with Applications, 2019 - Elsevier
In this paper, we compute the sentiment of social media posts using a novel set of fuzzy
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
Optimizing customer engagement content strategy in retail and E-tail: Available on online product review videos
SR Agrawal, D Mittal - Journal of Retailing and Consumer Services, 2022 - Elsevier
The present study attempts to examine how the various emotions expressed in customer
engagement content available on online product review videos reflect purchase intentions …
engagement content available on online product review videos reflect purchase intentions …
Does fear of missing out give satisfaction in purchasing based on social media content?
The influence of social media in providing the information is undeniable in the current era.
How the information is received is then processed as a helpful reference in deciding the …
How the information is received is then processed as a helpful reference in deciding the …
[HTML][HTML] An efficient way of text-based emotion analysis from social media using LRA-DNN
N Shelke, S Chaudhury, S Chakrabarti… - Neuroscience …, 2022 - Elsevier
Text devices are effectively and heavily used for interactions these days. Emotion extraction
from the text has derived huge importance and is upcoming area of research in Natural …
from the text has derived huge importance and is upcoming area of research in Natural …
Rumor detection based on propagation graph neural network with attention mechanism
Z Wu, D Pi, J Chen, M Xie, J Cao - Expert systems with applications, 2020 - Elsevier
Rumors on social media have always been an important issue that seriously endangers
social security. Researches on timely and effective detection of rumors have aroused lots of …
social security. Researches on timely and effective detection of rumors have aroused lots of …
Hotel selection driven by online textual reviews: Applying a semantic partitioned sentiment dictionary and evidence theory
Browsing online reviews before selecting a satisfactory hotel has become a trend. Multiple
criteria decision making models are powerful tools to provide competitive guidance. The first …
criteria decision making models are powerful tools to provide competitive guidance. The first …