HMTL: Heterogeneous Modality Transfer Learning for Audio-Visual Sentiment Analysis
IEEE Access, 2020 Multimodal sentiment analysis is an extended approach to traditional language-based sentiment analysis, which uses other relevant modality data. Multimodal sentiment analysis usually applies visual, textual, and acoustic representations for sentiment ...
Sanghyun Seo, Sanghyuck Na, Juntae Kim
doaj +1 more source
A global optimization approach to multi-polarity sentiment analysis. [PDF]
PLoS ONE, 2015 Following the rapid development of social media, sentiment analysis has become an important social media mining technique. The performance of automatic sentiment analysis primarily depends on feature selection and sentiment classification.
Xinmiao Li, Jing Li, Yukeng Wu
doaj +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
Human-Centric Intelligent Systems, 2023 This research paper presents a novel approach for recommending products to customers based on their cared aspects by performing sentiment analysis on customer feedback.
Nimesh Bali Yadav
doaj +1 more source
Sentiment analysis method of comment text based on word vector with sentiment information
Journal of Hebei University of Science and Technology, 2021 In order to solve the problem of low accuracy of sentiment classification caused by neglecting the sentiment information of words in distributed word representation method,an improved sentiment analysis method incorporating weighted word vectors of ...
Meiyuan LYU +3 more
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
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
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
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