BERT-LSTM model for sarcasm detection in code-mixed social media post

R Pandey, JP Singh - Journal of Intelligent Information Systems, 2023 - Springer
Sarcasm is the acerbic use of words to mock someone or something, mostly in a satirical
way. Scandal or mockery is used harshly, often crudely and contemptuously, for destructive …

[PDF][PDF] Generative artificial intelligence terminology: a primer for clinicians and medical researchers

O Melnyk, A Ismail, NS Ghorashi, M Heekin, R Javan - Cureus, 2023 - cureus.com
Generative artificial intelligence (AI) is rapidly transforming the medical field, as advanced
tools powered by large language models (LLMs) make their way into clinical practice …

Enhancing aspect and opinion terms semantic relation for aspect sentiment triplet extraction

Y Zhang, Q Ding, Z Zhu, P Liu, F **e - Journal of Intelligent Information …, 2022 - Springer
Aspect sentiment triplet extraction is the most recent subtask of aspect-based sentiment
analysis, which aims to extract triplets information from a review sentence, including an …

[HTML][HTML] A semantic similarity-based identification method for implicit citation functions and sentiments information

R Malkawi, M Daradkeh, A El-Hassan, P Petrov - Information, 2022 - mdpi.com
Automated citation analysis is becoming increasingly important in assessing the scientific
quality of publications and identifying patterns of collaboration among researchers …

[PDF][PDF] A comparative study of deep learning models for sentiment analysis of social media texts.

VD Derbentsev, VS Bezkorovainyi, AV Matviychuk… - M3E2 …, 2022 - ir.kneu.edu.ua
Sentiment analysis is a challenging task in natural language processing, especially for
social media texts, which are often informal, short, and noisy. In this paper, we present a …

FANCFIS: ensemble deep learning based features learning with a novel fuzzy approach for sentiment analysis

P Bharath, D Venkatalakshmi - International Journal of Information …, 2024 - Springer
In the past decade, sentiment analysis has been a popular study area in data mining and
natural language processing. In sentiment analysis, deep neural network (DNN) approaches …

Analysis of marketing forecasting model based on genetic neural networks: taking clothing marketing as an example

X Chen, D Wang, YT Gao, B Tian - … and Mobile Computing, 2022 - Wiley Online Library
In this paper, according to the requirements of clothing sales forecast, the forecast model of
clothing sales is constructed. Through the design of cyclic structure, the adverse effects of …

[PDF][PDF] Sentiment analysis of electronic social media based on deep learning

VD Derbentsev, VS Bezkorovainyi, AV Matviychuk… - no. M3e2, 2023 - ir.kneu.edu.ua
This paper describes Deep Learning approach of sentiment analyses which is an active
research subject in the domain of Natural Language Processing. For this purpose we have …

Masked face recognition with BF-FaceNet and multi-view features

X Su, D Sun, Y Li, L Yao, M Ratsch - 2023 - researchsquare.com
Wearing masks in accordance with scientific guidelines is the most economically-effective
protective measure for preventing respiratory diseases, such as COVID-19 and influenza, by …

Context-and sentiment-aware machine learning models for sentiment analysis

FA Deniz Kızılöz - 2023 - open.metu.edu.tr
With the advances in information technologies, the amount of available data on web sources
where people express their opinions increases continually. Sentiment analysis supports …