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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
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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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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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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.
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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
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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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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
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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
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Analyzing Disproportionate Reaction via Comparative Multilingual Targeted Sentiment in Twitter [PDF]
, 2017 Global events such as terrorist attacks are commented upon in social media, such as Twitter, in different languages and from different parts of the world.
Agarwal A. +6 more
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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
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