Results 41 to 50 of about 23,660,558 (336)

Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages [PDF]

open access: yes, 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]

open access: yes, 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]

open access: yesSocial 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

Chinese Micro-Blog Sentiment Analysis Based on Multiple Sentiment Dictionaries and Semantic Rule Sets

open access: yesIEEE 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]

open access: yes, 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

open access: yesItalian 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]

open access: yesWIREs 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

open access: yesIEEE 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

The Applications of Sentiment Analysis for Russian Language Texts: Current Challenges and Future Perspectives

open access: yesIEEE 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

open access: yesAnnual 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

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