A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
Deep learning for sentiment analysis: A survey
Deep learning has emerged as a powerful machine learning technique that learns multiple
layers of representations or features of the data and produces state‐of‐the‐art prediction …
layers of representations or features of the data and produces state‐of‐the‐art prediction …
ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis
Sentiment analysis has been a hot research topic in natural language processing and data
mining fields in the last decade. Recently, deep neural network (DNN) models are being …
mining fields in the last decade. Recently, deep neural network (DNN) models are being …
[HTML][HTML] Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification
A Onan - Journal of King Saud University-Computer and …, 2022 - Elsevier
Sentiment analysis has been a well-studied research direction in computational linguistics.
Deep neural network models, including convolutional neural networks (CNN) and recurrent …
Deep neural network models, including convolutional neural networks (CNN) and recurrent …
Bidirectional LSTM with attention mechanism and convolutional layer for text classification
G Liu, J Guo - Neurocomputing, 2019 - Elsevier
Neural network models have been widely used in the field of natural language processing
(NLP). Recurrent neural networks (RNNs), which have the ability to process sequences of …
(NLP). Recurrent neural networks (RNNs), which have the ability to process sequences of …
Is ChatGPT a good sentiment analyzer? A preliminary study
Recently, ChatGPT has drawn great attention from both the research community and the
public. We are particularly interested in whether it can serve as a universal sentiment …
public. We are particularly interested in whether it can serve as a universal sentiment …
BERT post-training for review reading comprehension and aspect-based sentiment analysis
Question-answering plays an important role in e-commerce as it allows potential customers
to actively seek crucial information about products or services to help their purchase …
to actively seek crucial information about products or services to help their purchase …
Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective
IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …
health data, mobile data, urban data, security data, and many more, in the current age of the …
Sentiment analysis in the era of large language models: A reality check
Sentiment analysis (SA) has been a long-standing research area in natural language
processing. It can offer rich insights into human sentiments and opinions and has thus seen …
processing. It can offer rich insights into human sentiments and opinions and has thus seen …
Sentiment of emojis
P Kralj Novak, J Smailović, B Sluban, I Mozetič - PloS one, 2015 - journals.plos.org
There is a new generation of emoticons, called emojis, that is increasingly being used in
mobile communications and social media. In the past two years, over ten billion emojis were …
mobile communications and social media. In the past two years, over ten billion emojis were …