Detail publikace

Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm

MAHRUKH, R. SHAKIL, S. MALIK, A.

Originální název

Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Our emotions and sentiments are influenced by naturalistic stimuli such as the movies we watch and the songs we listen to, accompanied by changes in our brain activation. Comprehension of these brain-activation dynamics can assist in identification of any associated neurological condition such as stress and depression, leading towards making informed decision about suitable stimuli. A large number of open-access functional magnetic resonance imaging (fMRI) datasets collected under natzuralistic conditions can be used for classification/prediction studies. However, these datasets do not provide emotion/sentiment labels, which limits their use in supervised learning studies. Manual labeling by subjects can generate these labels, however, this method is subjective and biased. In this study, we are proposing another approach of generating automatic labels from the naturalistic stimulus itself. We are using sentiment analyzers (VADER, TextBlob, and Flair) from natural language processing to generate labels using movie subtitles. Subtitles generated labels are used as the class labels for positive, negative, and neutral sentiments for classification of brain fMRI images. Support vector machine, random forest, decision tree, and deep neural network classifiers are used. We are getting reasonably good classification accuracy (42-84%) for imbalanced data, which is increased (55-99%) for balanced data.

Klíčová slova

fMRI, natural paradigm, sentiments, automatic, machine learning

Autoři

MAHRUKH, R.; SHAKIL, S.; MALIK, A.

Vydáno

4. 5. 2023

Nakladatel

Springer Nature

ISSN

2045-2322

Periodikum

Scientific Reports

Ročník

13

Číslo

1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

15

Strany počet

15

URL

Plný text v Digitální knihovně

BibTex

@article{BUT185142,
  author="Rimsha {Mahrukh} and Sadia {Shakil} and Aamir Saeed {Malik}",
  title="Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm",
  journal="Scientific Reports",
  year="2023",
  volume="13",
  number="1",
  pages="1--15",
  doi="10.1038/s41598-023-33734-7",
  issn="2045-2322",
  url="https://www.nature.com/articles/s41598-023-33734-7"
}

Odpovědnost: Ing. Marek Strakoš