[HTML][HTML] Sentiment analysis and opinion mining on educational data: A survey

T Shaik, X Tao, C Dann, H **e, Y Li… - Natural Language …, 2023 - Elsevier
Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to
identify human intentions from their reviews. In the education sector, opinion mining is used …

A review of recent advances on deep learning methods for audio-visual speech recognition

D Ivanko, D Ryumin, A Karpov - Mathematics, 2023 - mdpi.com
This article provides a detailed review of recent advances in audio-visual speech
recognition (AVSR) methods that have been developed over the last decade (2013–2023) …

Fake review detection in e-Commerce platforms using aspect-based sentiment analysis

P Hajek, L Hikkerova, JM Sahut - Journal of Business Research, 2023 - Elsevier
Consumers rely on internet user reviews. Existing sentiment-based detection systems fail to
capture consumer feelings regarding numerous aspects of products or services which …

MBi-GRUMCONV: A novel Multi Bi-GRU and Multi CNN-Based deep learning model for social media sentiment analysis

MS Başarslan, F Kayaalp - Journal of Cloud Computing, 2023 - Springer
Today, internet and social media is used by many people, both for communication and for
expressing opinions about various topics in many domains of life. Various artificial …

Climate change sentiment analysis using lexicon, machine learning and hybrid approaches

NM Sham, A Mohamed - Sustainability, 2022 - search.proquest.com
The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the
consequence of warming up the planet, hence the existence of climate change. Sentiment …

From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework

RK Ray, A Singh - Journal of Retailing and Consumer Services, 2025 - Elsevier
In the current landscape, smartwatches have gained popularity as wearable devices thanks
to their fitness tracking and health monitoring capabilities. However, the abundance of …

Improving the performance of sentiment analysis using enhanced preprocessing technique and artificial neural network

A Thakkar, D Mungra, A Agrawal… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
With the presence of a massive amount of digitally recorded data, an automated
computation can be preferable over the manual approach to evaluate sentiments within …

Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation

Y Zhang, Y Yu, D Zhao, Z Li, B Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Sarcasm is a form of figurative language device to express human inner feelings, where the
author writes the positive sentence on surface form, while he/she actually expresses …

Aspect-based sentiment analysis: A dual-task learning architecture using imbalanced maximized-area under the curve proximate support vector machine and …

MM Motevalli, MK Sohrabi, F Yaghmaee - Information Sciences, 2025 - Elsevier
Aspect-based sentiment analysis (ABSA) deals with understanding sentiments about
specific attributes. Aspect term extraction (ATE) plays an essential role in aspect sentiment …

[PDF][PDF] Natural language processing (NLP) in the extraction of clinical information from electronic health records (EHRs) for cancer prognosis

P Thatoi, R Choudhary, A Shiwlani… - International …, 2023 - researchgate.net
Abstracts: NLP has become an important tool in healthcare, particularly in extracting clinical
information from EHRs in order to help enhance cancer prognosis. EHRs store vast amounts …