Results 41 to 50 of about 23,355,349 (344)
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
Survey on sentiment analysis: evolution of research methods and topics
Artificial Intelligence Review, 2023 Sentiment analysis, one of the research hotspots in the natural language processing field, has attracted the attention of researchers, and research papers on the field are increasingly published.
Jing Cui +3 more
semanticscholar +1 more source
Summary of Multi-modal Sentiment Analysis Technology
Jisuanji kexue yu tansuo, 2021 Sentiment analysis refers to the use of computers to automatically analyze and determine the emotions that people want to express. It can play a significant role in human-computer interaction and criminal investigation and solving cases.
LIU Jiming, ZHANG Peixiang, LIU Ying, ZHANG Weidong, FANG Jie
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Social Network Analysis and Mining, 2023 Social media platform such as Twitter provides a space where users share their thoughts and opinion as well as connect, communicate, and contribute to certain topics using short, 140 characters posts, known as tweets.
Yuxing Qi, Zahratu Shabrina
semanticscholar +1 more source
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis [PDF]
ACM Multimedia, 2020 Multimodal Sentiment Analysis is an active area of research that leverages multimodal signals for affective understanding of user-generated videos.
Devamanyu Hazarika +2 more
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Sentiment analysis and prediction model based on Chinese government affairs microblogs
Heliyon, 2023 Existing sentiment analysis research on Chinese government affairs microblogs primarily focuses on the task of sentiment classification on microblogs. There has been a lack of investigation into the correlation of each government affairs microblog with ...
Meng Li, Yucheng Shi
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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
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Sentiment Analysis in Turkish [PDF]
, 2018 In this chapter, we give an overview of sentiment analysis problem and present a system to estimate the sentiment of movie reviews in Turkish. Our approach combines supervised learning and lexicon-based approaches, making use of a recently constructed Turkish polarity lexicon called SentiTurkNet.
Gezici, Gizem, Yanıkoğlu, Berrin
openaire +3 more sources
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
Applied Sciences, 2023 Sentiment analysis has become an important area of research in natural language processing. This technique has a wide range of applications, such as comprehending user preferences in ecommerce feedback portals, politics, and in governance.
J. Mutinda, W. Mwangi, G. Okeyo
semanticscholar +1 more source