Results 21 to 30 of about 22,491,724 (165)
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 Multimodal sentiment analysis (MSA) and emotion recognition in conversation (ERC) are key research topics for computers to understand human behaviors.
Guimin Hu +5 more
semanticscholar +1 more source
Classifying sentiment in microblogs: is brevity an advantage? [PDF]
, 2010 Microblogs as a new textual domain offer a unique proposition for sentiment analysis. Their short document length suggests any sentiment they contain is compact and explicit.
Bermingham, Adam, Smeaton, Alan F.
core +2 more sources
Sentiment Analysis Based on Deep Learning: A Comparative Study [PDF]
Electronics, 2020 The study of public opinion can provide us with valuable information. The analysis of sentiment on social networks, such as Twitter or Facebook, has become a powerful means of learning about the users’ opinions and has a wide range of applications ...
N. C. Dang, M. García, F. D. L. Prieta
semanticscholar +1 more source
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
A review on sentiment analysis and emotion detection from text
Social Network Analysis and Mining, 2021 Social networking platforms have become an essential means for communicating feelings to the entire world due to rapid expansion in the Internet era. Several people use textual content, pictures, audio, and video to express their feelings or viewpoints ...
Pansy Nandwani, Rupali Verma
semanticscholar +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
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
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
Cross-domain sentiment classification using a sentiment sensitive thesaurus [PDF]
, 2013 Automatic classification of sentiment is important for numerous applications such as opinion mining, opinion summarization, contextual advertising, and market analysis.
Bollegala, Danushka +2 more
core +1 more source
Econometrics meets sentiment : an overview of methodology and applications [PDF]
, 2020 The advent of massive amounts of textual, audio, and visual data has spurred the development of econometric methodology to transform qualitative sentiment data into quantitative sentiment variables, and to use those variables in an econometric analysis ...
Algaba, Andres +4 more
core +2 more sources