[HTML][HTML] A systematic review of social media-based sentiment analysis: Emerging trends and challenges
In the present information age, a wide and significant variety of social media platforms have
been developed and become an important part of modern life. Massive amounts of user …
been developed and become an important part of modern life. Massive amounts of user …
Sentiment analysis of text reviews using lexicon-enhanced bert embedding (LeBERT) model with convolutional neural network
Sentiment analysis has become an important area of research in natural language
processing. This technique has a wide range of applications, such as comprehending user …
processing. This technique has a wide range of applications, such as comprehending user …
[HTML][HTML] Movie recommendation and sentiment analysis using machine learning
In the modern world, where technology is at the forefront of every industry, there has been
an overload of information and data. Thus, a recommendation system comes in handy to …
an overload of information and data. Thus, a recommendation system comes in handy to …
MBiLSTMGloVe: Embedding GloVe knowledge into the corpus using multi-layer BiLSTM deep learning model for social media sentiment analysis
A Pimpalkar - Expert Systems with Applications, 2022 - Elsevier
The fast improvement and transformation of online media and unique sites with critical
reviews of items, movies, goods, etc. have created a tremendous assortment of assets for …
reviews of items, movies, goods, etc. have created a tremendous assortment of assets for …
HOMOCHAR: A novel adversarial attack framework for exposing the vulnerability of text based neural sentiment classifiers
A Bajaj, DK Vishwakarma - Engineering Applications of Artificial …, 2023 - Elsevier
State-of-the-art deep learning algorithms have demonstrated remarkable proficiency in the
task of text classification. Despite the widespread use of deep learning-based language …
task of text classification. Despite the widespread use of deep learning-based language …
[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 …
Unboxing deep learning model of food delivery service reviews using explainable artificial intelligence (XAI) technique
The demand for food delivery services (FDSs) during the COVID-19 crisis has been fuelled
by consumers who prefer to order meals online and have it delivered to their door than to …
by consumers who prefer to order meals online and have it delivered to their door than to …
Arabic aspect extraction based on stacked contextualized embedding with deep learning
AS Fadel, ME Saleh, OA Abulnaja - IEEE Access, 2022 - ieeexplore.ieee.org
The exponential growth of the internet and a multi-fold increase in social media users in the
last decade have resulted in a massive growth of unstructured data. Aspect-Based …
last decade have resulted in a massive growth of unstructured data. Aspect-Based …
Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis
Nowadays, it is important for buyers to know other customer opinions to make informed
decisions on buying a product or service. In addition, companies and organizations can …
decisions on buying a product or service. In addition, companies and organizations can …
Sentiment analysis of Persian language: review of algorithms, approaches and datasets
A Nazarizadeh, T Banirostam… - arXiv preprint arXiv …, 2022 - arxiv.org
Sentiment analysis aims to extract people's emotions and opinion from their comments on
the web. It widely used in businesses to detect sentiment in social data, gauge brand …
the web. It widely used in businesses to detect sentiment in social data, gauge brand …