A robust hybrid approach with product context-aware learning and explainable ai for sentiment analysis in amazon user reviews

E Hashmi, SY Yayilgan - Electronic Commerce Research, 2024 - Springer
In the ever-changing world of business, gaining valuable insights from customer
perspectives is crucial. Consumer evaluations are crucial performance indicators for …

Aspect-level sentiment analysis based on aspect-sentence graph convolution network

W Shang, J Chai, J Cao, X Lei, H Zhu, Y Fan, W Ding - Information Fusion, 2024 - Elsevier
Aspect-level sentiment analysis aims to identify the sentiment polarity of aspect words in
sentences. The existing research methods only focus on the grammatical dependencies …

Automated testing linguistic capabilities of nlp models

J Lee, S Chen, A Mordahl, C Liu, W Yang… - ACM Transactions on …, 2024 - dl.acm.org
Natural language processing (NLP) has gained widespread adoption in the development of
real-world applications. However, the black-box nature of neural networks in NLP …

Automatic detection of maintenance requests: Comparison of Human Manual Annotation and Sentiment Analysis techniques

M D'Orazio, E Di Giuseppe, G Bernardini - Automation in Construction, 2022 - Elsevier
In the building management process, the collection of end-users' maintenance requests is a
rich source of information to evaluate occupants' satisfaction and building systems …

Towards machine-readable semantic-based E-business contract representations using Network of Timed Automata (NTA)

P Qin, Q Hu, M Cui - Future Generation Computer Systems, 2024 - Elsevier
The smart contract is generally stored and executed by a computer program in the
blockchain platform. However, the representation of program code is unfriendly for non …

[HTML][HTML] Analysis of learner's sentiments to evaluate sustainability of online education system during COVID-19 pandemic

M Imran, S Hina, MM Baig - Sustainability, 2022 - mdpi.com
Education is an important domain that may be improved by analyzing the sentiments of
learners and educators. Evaluating the sustainability of the education system is critical for …

Analisis sentimen pada agen perjalanan online menggunakan Naïve Bayes dan K-Nearest Neighbor

EW Sholeha, S Yunita, R Hammad… - JTIM: Jurnal …, 2022 - journal.sekawan-org.id
Social media has impact for decision maker to get more insights broadly. Including for online
travel agent company, where costumer's interest to use online travel agent for their chosen …

Sentiment score-based classification for fake news using machine learning and LSTM-BiLSTM

P Narang, AV Singh, H Monga - Soft Computing, 2024 - Springer
Fake news creates social turbulence, which may hamper our social or economic equilibrium.
Researchers have harnessed machine learning (ML) and deep learning (DL) algorithms to …

[PDF][PDF] On robustness-accuracy characterization of large language models using synthetic datasets

CY Ko, PY Chen, P Das, YS Chuang… - ES-FoMo: Efficient …, 2023 - par.nsf.gov
Despite the impressive capability of large language models (LLMs) in solving different
downstream tasks, new concerns about proper performance evaluation have been raised …

Sentiment Mining in E-Commerce: The Transformer-based Deep Learning Model

T Alsaedi, MRR Rana, A Nawaz, A Raza… - International journal of …, 2024 - hrcak.srce.hr
Sažetak Sentiment analysis is crucial for comprehending customer feedback and enhancing
workplace culture, as well as improving products and services. By employing natural …