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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 …
Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach
Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …
consuming. Researchers use sentiment analysis via natural language processing …
Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …
has attracted the attention of researchers, and research papers on the field are increasingly …
Implications of COVID-19 pandemic on the global trade networks
CT Vidya, KP Prabheesh - Research on Pandemics, 2021 - taylorfrancis.com
This article measures the trade interconnectedness among countries before and after the
COVID-19 outbreak, and forecasts the future direction of trade. Using Trade Network …
COVID-19 outbreak, and forecasts the future direction of trade. Using Trade Network …
Issues and challenges of aspect-based sentiment analysis: A comprehensive survey
The domain of Aspect-based Sentiment Analysis, in which aspects are extracted, their
sentiments are analysed and sentiments are evolved over time, is getting much attention …
sentiments are analysed and sentiments are evolved over time, is getting much attention …
A hybrid CNN-LSTM model for improving accuracy of movie reviews sentiment analysis
Nowadays, social media has become a tremendous source of acquiring user's opinions.
With the advancement of technology and sophistication of the internet, a huge amount of …
With the advancement of technology and sophistication of the internet, a huge amount of …
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 …
A review of sentiment analysis research in Arabic language
O Oueslati, E Cambria, MB HajHmida… - Future Generation …, 2020 - Elsevier
Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …
increasing attention. However, sentiment analysis research has mainly been carried out for …
Deep learning CNN–LSTM framework for Arabic sentiment analysis using textual information shared in social networks
Recently, the world has witnessed an exponential growth of social networks which have
opened a venue for online users to express and share their opinions in different life aspects …
opened a venue for online users to express and share their opinions in different life aspects …
A review of hybrid and ensemble in deep learning for natural language processing
J Jia, W Liang, Y Liang - arxiv preprint arxiv:2312.05589, 2023 - arxiv.org
This review presents a comprehensive exploration of hybrid and ensemble deep learning
models within Natural Language Processing (NLP), shedding light on their transformative …
models within Natural Language Processing (NLP), shedding light on their transformative …