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
semanticscholar +1 more source
DOES GOOGLE TRANSLATE AFFECT LEXICON-BASED SENTIMENT ANALYSIS OF MALAY SOCIAL MEDIA TEXT? [PDF]
Malaysian Journal of Computing, 2022 There are a lot of sentiment resources for English, however, there are limited resources in a resource-poor language like the Malay language. One approach to improving sentiment analysis is to translate the focus-language text to a resource-rich language
Vanessa Enjop +5 more
doaj +1 more source
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks [PDF]
, 2015 Sentiment analysis of online user generated content is important for many social media analytics tasks. Researchers have largely relied on textual sentiment analysis to develop systems to predict political elections, measure economic indicators, and so ...
Jin, Hailin +3 more
core +1 more source
Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review [PDF]
Journal of Tourism, Heritage & Services Marketing, 2021 Purpose: Sentiment analysis is built from the information provided through text (reviews) to help understand the social sentiment toward their brand, product, or service.
Franciele Cristina Manosso +1 more
doaj +1 more source
VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
International Conference on Web and Social Media, 2014 The inherent nature of social media content poses serious challenges to practical applications of sentiment analysis. We present VADER, a simple rule-based model for general sentiment analysis, and compare its effectiveness to eleven typical state-of-
C. J. Hutto, Eric Gilbert
semanticscholar +1 more source
Tensor Fusion Network for Multimodal Sentiment Analysis [PDF]
Conference on Empirical Methods in Natural Language Processing, 2017 Multimodal sentiment analysis is an increasingly popular research area, which extends the conventional language-based definition of sentiment analysis to a multimodal setup where other relevant modalities accompany language.
Amir Zadeh +4 more
semanticscholar +1 more source
Chinese Text Sentiment Analysis Based on Extended Sentiment Dictionary
IEEE Access, 2019 The method of text sentiment analysis based on sentiment dictionary often has the problems that the sentiment dictionary doesn't contain enough sentiment words or omits some field sentiment words.
Guixian Xu +5 more
doaj +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
doaj +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 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
doaj +1 more source