A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
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 …
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …
Zero-shot emotion detection for semi-supervised sentiment analysis using sentence transformers and ensemble learning
SG Tesfagergish, J Kapočiūtė-Dzikienė… - Applied Sciences, 2022 - mdpi.com
We live in a digitized era where our daily life depends on using online resources.
Businesses consider the opinions of their customers, while people rely on the …
Businesses consider the opinions of their customers, while people rely on the …
SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing
Over the recent years, WiFi sensing has been rapidly developed for privacy-preserving,
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …
Challenges and issues in sentiment analysis: A comprehensive survey
N Raghunathan, K Saravanakumar - IEEE Access, 2023 - ieeexplore.ieee.org
Sentiment analysis, a specialization of natural language processing (NLP), has witnessed
significant progress since its emergence in the late 1990s, owing to the swift advances in …
significant progress since its emergence in the late 1990s, owing to the swift advances in …
A Systematic Review of Cross-Lingual Sentiment Analysis: Tasks, Strategies, and Prospects
C Zhao, M Wu, X Yang, W Zhang, S Zhang… - ACM Computing …, 2024 - dl.acm.org
Traditional methods for sentiment analysis, when applied in a monolingual context, often
yield less than optimal results in multilingual settings. This underscores the need for a more …
yield less than optimal results in multilingual settings. This underscores the need for a more …
A hybrid E-learning recommendation integrating adaptive profiling and sentiment analysis
This research proposes a novel framework named Enhanced e-Learning Hybrid
Recommender System (ELHRS) that provides an appropriate e-content with the highest …
Recommender System (ELHRS) that provides an appropriate e-content with the highest …
Weakening the dominant role of text: CMOSI dataset and multimodal semantic enhancement network
Multimodal sentiment analysis (MSA) is important for quickly and accurately understanding
people's attitudes and opinions about an event. However, existing sentiment analysis …
people's attitudes and opinions about an event. However, existing sentiment analysis …
Multiplex graph neural network for extractive text summarization
Extractive text summarization aims at extracting the most representative sentences from a
given document as its summary. To extract a good summary from a long text document …
given document as its summary. To extract a good summary from a long text document …
A novel topic clustering algorithm based on graph neural network for question topic diversity
Y Wu, X Wang, W Zhao, X Lv - Information Sciences, 2023 - Elsevier
In community question answering, many questions have no topic labeling or the topic
labeling is very diverse, which has become the biggest obstacle to building the bridge …
labeling is very diverse, which has become the biggest obstacle to building the bridge …
Soda: Detecting covid-19 in chest x-rays with semi-supervised open set domain adaptation
Due to the shortage of COVID-19 viral testing kits, radiology imaging is used to complement
the screening process. Deep learning based methods are promising in automatically …
the screening process. Deep learning based methods are promising in automatically …