A review of sentiment analysis: tasks, applications, and deep learning techniques
Sentiment analysis, a transformative force in natural language processing, revolutionizes
diverse fields such as business, social media, healthcare, and disaster response. This …
diverse fields such as business, social media, healthcare, and disaster response. This …
Investigating stock prediction using LSTM networks and sentiment analysis of tweets under high uncertainty: A case study of North American and European banks
The investigation focused on the prediction of stock prices amidst significant macroeconomic
and geopolitical volatility, particularly targeting North-American and European banks in …
and geopolitical volatility, particularly targeting North-American and European banks in …
[PDF][PDF] Integrating CRM and ERP Insights for Optimized Product Development Using CNN-LSTM Hybrid Models
Enhancing product development processes through insightful data integration in business
finance is crucial for aligning offerings with market demand and optimizing resource …
finance is crucial for aligning offerings with market demand and optimizing resource …
Low-resource MobileBERT for emotion recognition in imbalanced text datasets mitigating challenges with limited resources
Modern dialogue systems rely on emotion recognition in conversation (ERC) as a core
element enabling empathetic and human-like interactions. However, the weak correlation …
element enabling empathetic and human-like interactions. However, the weak correlation …
Improving Hate Speech Detection Using Double-Layers Hybrid CNN-RNN Model on Imbalanced Dataset
Hate speech detection is crucial in curbing online toxicity and fostering a safer digital
environment. Previous research has proposed the use of a hybrid CNN-RNN model for this …
environment. Previous research has proposed the use of a hybrid CNN-RNN model for this …
[HTML][HTML] Maximizing Profitability and Occupancy: An Optimal Pricing Strategy for Airbnb Hosts Using Regression Techniques and Natural Language Processing
L Di Persio, E Lalmi - Journal of Risk and Financial Management, 2024 - mdpi.com
In the competitive landscape of Airbnb hosting, optimizing pricing strategies for properties is
a complex challenge that requires revenue maximization with high occupancy rates. This …
a complex challenge that requires revenue maximization with high occupancy rates. This …
Leveraging the BERT model for enhanced sentiment analysis in multicontextual social media content
The increasing prevalence of social media platforms has led to a surge in user-generated
content, necessitating advanced techniques for accurate sentiment analysis. This study …
content, necessitating advanced techniques for accurate sentiment analysis. This study …
Exploring sentiment analysis in handwritten and E-text documents using advanced machine learning techniques: a novel approach
R Ahamad, KN Mishra - Journal of Big Data, 2025 - Springer
Traditionally, many people still wish to write on pen and paper. However, it has some
drawbacks like accessing and storing physical documents efficiently, searching through …
drawbacks like accessing and storing physical documents efficiently, searching through …
Sentiment analysis deep learning model based on a novel hybrid embedding method
Abstract (WE) are crucial for capturing the meanings of words, offering continuous vector
representations that encode both semantic and syntactic information. In this paper, we …
representations that encode both semantic and syntactic information. In this paper, we …
Climate Change Sentiment Analysis using Domain Specific Bidirectional Encoder Representations from Transformers
Climate change's impact on human health poses unprecedented and diverse challenges.
Unless proactive measures based on solid evidence are implemented, these threats will …
Unless proactive measures based on solid evidence are implemented, these threats will …