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Multimodal sentiment analysis

Multimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. It can be bimodal, which includes different combinations of two modalities, or trimodal, which incorporates three modalities. With the extensive amount of social media data available online in different…

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Fusion techniques

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Map overview Semantic statistics

Multimodal sentiment analysis

Nodes36
Edges35
Triples36
Avg. degree1.94
Density0.055556
Components1

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Multimodal sentiment analysis

Top relations

related to Audio features · 5
Multimodal sentiment analysis → MFCC, OpenSMILE, Praat, Sentiment, Some
has application · 4
Multimodal sentiment analysis → In, Multimodal, NLP, Similar
related to Visual features · 4
Multimodal sentiment analysis → One, OpenFace, Specifically, Visual
related to Features · 2
Multimodal sentiment analysis → Feature, In
related to Fusion techniques · 2
Multimodal sentiment analysis → The, Unlike
related to Textual features · 2
Multimodal sentiment analysis → Similar, These
is a · 1
Multimodal sentiment analysis → technology for traditional text-based sentiment analysis

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Important terminology

sentiment analysis features multimodal visual audio fusion classification different data applied feature-level decision-level techniques text-based modalities one hybrid textual modality

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Multimodal sentiment analysisis atechnology for traditional text-based sentiment analysis0.90text
audioinstance ofwhich includes modalities0.80text
visual datainstance ofwhich includes modalities0.80text
videosinstance ofWith the extensive amount of social media data available online in different forms0.80text
imagesinstance ofWith the extensive amount of social media data available online in different forms0.80text
the conventional text-based sentiment analysis has evolved into more complex models of multimodal sentiment analysisinstance ofWith the extensive amount of social media data available online in different forms0.80text
which can be applied in the development of virtual assistantsinstance ofWith the extensive amount of social media data available online in different forms0.80text
analysis of YouTube movie reviewsinstance ofWith the extensive amount of social media data available online in different forms0.80text
analysis of news videosinstance ofWith the extensive amount of social media data available online in different forms0.80text
and emotion recognitioninstance ofWith the extensive amount of social media data available online in different forms0.80text
in the analysis of user-generated videos of movie reviewsinstance ofmultimodal sentiment analysis can be applied in the development of different forms of recommender systems0.80text
general product reviewsinstance ofmultimodal sentiment analysis can be applied in the development of different forms of recommender systems0.80text

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