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Survey on visual sentiment analysis [PDF]
IET Image Processing, 2020 Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked emotions. Although this field is rather new, a broad range of techniques have been developed for various data sources and problems, resulting in a large body of research.
Ortis, Alessandro +2 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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Diabetes on Twitter: A Sentiment Analysis [PDF]
Journal of Diabetes Science and Technology, 2018 Background: Contents published on social media have an impact on individuals and on their decision making. Knowing the sentiment toward diabetes is fundamental to understanding the impact that such information could have on people affected with this health condition and their family members.
Gabarron, Elia +3 more
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Implementasi Twitter Sentiment Analysis Untuk Review Film Menggunakan Algoritma Support Vector Machine [PDF]
, 2018 Sentiment analysis digunakan untuk melihat opini terhadap sebuah masalah menuju ke opini positif atau negatif. Media sosial Twitter merupakan salah satu media yang digunakan untuk memberikan opini melalui tweet.
Fidyawan, M. A. (Miftahul) +2 more
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The Role of Text Pre-processing in Sentiment Analysis [PDF]
, 2013 It is challenging to understand the latest trends and summarise the state or general opinions about products due to the big diversity and size of social media data, and this creates the need of automated and real time opinion extraction and mining ...
Haddi, E, Liu, X, Shi, Y
core +1 more source
Sentiment Analysis for Social Media [PDF]
Applied Sciences, 2019 Sentiment analysis has become a key technology to gain insight from social networks. The field has reached a level of maturity that paves the way for its exploitation in many different fields such as marketing, health, banking or politics. The latest technological advancements, such as deep learning techniques, have solved some of the traditional ...
Carlos A. Iglesias, Antonio Moreno
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Multimodal Sentiment Analysis: A Survey
Displays, 2023 It needs to be returned for major ...
Songning Lai +4 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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Challenges and Issues in Sentiment Analysis: A Comprehensive Survey
IEEE Access, 2023 Sentiment analysis, a specialization of natural language processing (NLP), has witnessed significant progress since its emergence in the late 1990s, owing to the swift advances in deep learning techniques and the abundance of vast digital datasets ...
Nilaa Raghunathan +1 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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