Results 51 to 60 of about 23,355,349 (344)
IEEE Access, 2019 Sentiment analysis of Chinese micro-blog based on sentiment dictionary has become a challenging research subject in the field of artificial intelligence.
Jiesheng Wu +3 more
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ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis
Annual Meeting of the Association for Computational Linguistics, 2023 Multimodal Sentiment Analysis aims to predict the sentiment of video content. Recent research suggests that multimodal sentiment analysis critically depends on learning a good representation of multimodal information, which should contain both modality ...
Jiuding Yang +4 more
semanticscholar +1 more source
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2022 As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis (ABSA), aiming to analyze and understand people's opinions at the aspect level, has been attracting considerable interest in the last decade.
Wenxuan Zhang +4 more
semanticscholar +1 more source
IEEE Access, 2020 Sentiment analysis has become a powerful tool in processing and analysing expressed opinions on a large scale. While the application of sentiment analysis on English-language content has been widely examined, the applications on the Russian language ...
Sergey Smetanin
doaj +1 more source
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction [PDF]
, 2015 Visual media are powerful means of expressing emotions and sentiments. The constant generation of new content in social networks highlights the need of automated visual sentiment analysis tools. While Convolutional Neural Networks (CNNs) have established
Jiang Y.-G. +6 more
core +2 more sources
RoBERTa-GRU: A Hybrid Deep Learning Model for Enhanced Sentiment Analysis
Applied Sciences, 2023 This paper proposes a novel hybrid model for sentiment analysis. The model leverages the strengths of both the Transformer model, represented by the Robustly Optimized BERT Pretraining Approach (RoBERTa), and the Recurrent Neural Network, represented by ...
Kian Long Tan, C. Lee, K. Lim
semanticscholar +1 more source
A Survey on Feature Extraction Techniques, Classification Methods and Applications of Sentiment Analysis [PDF]
Brazilian Archives of Biology and Technology, 2023 Rapid developments in the era of IoT technologies, coupled with the espousal of social media tools and applications, have promoted the use of data analytics as a means to gain significant insights from unstructured data. Sentiment analysis is an approach
Yadav Meenakshi Muthukrishnan Seethalakshmi +2 more
doaj +1 more source
Bayesian estimation‐based sentiment word embedding model for sentiment analysis
CAAI Transactions on Intelligence Technology, 2022 Sentiment word embedding has been extensively studied and used in sentiment analysis tasks. However, most existing models have failed to differentiate high‐frequency and low‐frequency words.
Jingyao Tang +7 more
doaj +1 more source
Topic-dependent sentiment analysis of financial blogs [PDF]
, 2009 While most work in sentiment analysis in the financial domain has focused on the use of content from traditional finance news, in this work we concentrate on more subjective sources of information, blogs.
Bermingham, Adam +6 more
core +2 more sources
Towards Generative Aspect-Based Sentiment Analysis
Annual Meeting of the Association for Computational Linguistics, 2021 Aspect-based sentiment analysis (ABSA) has received increasing attention recently. Most existing work tackles ABSA in a discriminative manner, designing various task-specific classification networks for the prediction.
Wenxuan Zhang +4 more
semanticscholar +1 more source