Systematic reviews in sentiment analysis: a tertiary study

A Ligthart, C Catal, B Tekinerdogan - Artificial intelligence review, 2021 - Springer
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

A survey on aspect-based sentiment classification

G Brauwers, F Frasincar - ACM Computing Surveys, 2022 - dl.acm.org
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 …

A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis

G Kaur, A Sharma - Journal of big data, 2023 - Springer
There is an exponential growth in textual content generation every day in today's world. In-
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …

Aspect-level sentiment analysis: A survey of graph convolutional network methods

HT Phan, NT Nguyen, D Hwang - Information Fusion, 2023 - Elsevier
Aspect-level sentiment analysis (ALSA) is the process of collecting, processing, analyzing,
inferring, and synthesizing subjective sentiments of entities contained in texts at the aspect …

A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis

A Ghorbanali, MK Sohrabi - Artificial Intelligence Review, 2023 - Springer
Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …

Aspect-based sentiment analysis using a hybridized approach based on CNN and GA

A Ishaq, S Asghar, SA Gillani - IEEE Access, 2020 - ieeexplore.ieee.org
Sentiment analysis is a computational analysis of unstructured textual data, used to assess
the person's attitude from a piece of text. Aspect-based sentimental analysis defines the …

Aspect-based sentiment analysis of customer speech data using deep convolutional neural network and bilstm

S Murugaiyan, SR Uyyala - Cognitive Computation, 2023 - Springer
The process of detecting sentiments of particular context from human speech emotions is
naturally in-built for humans unlike computers, where it is not possible to process human …

Augmented language model with deep learning adaptation on sentiment analysis for E-learning recommendation

R Alatrash, R Priyadarshini, H Ezaldeen… - Cognitive Systems …, 2022 - Elsevier
Sentiment Analysis is considered as an important research field in text mining, and is
significant in recommendation systems and e-learning environments. This research …

Sentiment analysis of reviews in natural language: Roman Urdu as a case study

MA Qureshi, M Asif, MF Hassan, A Abid, A Kamal… - Ieee …, 2022 - ieeexplore.ieee.org
Opinion Mining from user reviews is an emerging field. Sentiment Analysis of Natural
Language text helps us in finding the opinion of the customers. These reviews can be in any …

Aspect-gated graph convolutional networks for aspect-based sentiment analysis

Q Lu, Z Zhu, G Zhang, S Kang, P Liu - Applied Intelligence, 2021 - Springer
Aspect-based sentiment analysis aims to predict the sentiment polarity of each specific
aspect term in a given sentence. However, the previous models ignore syntactical …