Results 41 to 50 of about 23,660,558 (336)
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages [PDF]
, 2018 Sentiment analysis in low-resource languages suffers from a lack of annotated corpora to estimate high-performing models. Machine translation and bilingual word embeddings provide some relief through cross-lingual sentiment approaches.
Barnes, Jeremy +2 more
core +3 more sources
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
Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models [PDF]
Social Science Research Network, 2023 Sentiment analysis is a vital tool for uncovering insights from financial articles, news, and social media, shaping our understanding of market movements.
Boyu Zhang, Hongyang Yang, Xiao-Yang Liu
semanticscholar +1 more source
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
doaj +1 more source
The Royal Birth of 2013: Analysing and Visualising Public Sentiment in the UK Using Twitter [PDF]
, 2013 Analysis of information retrieved from microblogging services such as Twitter can provide valuable insight into public sentiment in a geographic region. This insight can be enriched by visualising information in its geographic context.
Barker, Adam +2 more
core +2 more sources
A BERT Framework to Sentiment Analysis of Tweets
Italian National Conference on Sensors, 2023 Sentiment analysis has been widely used in microblogging sites such as Twitter in recent decades, where millions of users express their opinions and thoughts because of its short and simple manner of expression.
Abayomi Bello +2 more
semanticscholar +1 more source
Deep learning for sentiment analysis: A survey [PDF]
WIREs Data Mining Knowl. Discov., 2018 Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state‐of‐the‐art prediction results.
Lei Zhang, Shuai Wang, B. Liu
semanticscholar +1 more source
Multimodal Sentiment Analysis With Image-Text Interaction Network
IEEE transactions on multimedia, 2023 More and more users are getting used to posting images and text on social networks to share their emotions or opinions. Accordingly, multimodal sentiment analysis has become a research topic of increasing interest in recent years.
Tong Zhu +5 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
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