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- W3155937234 abstract "Analysis of cognitive state of brain in processing of negative and affirmative sentences has given rise to diverse results. Some part of brain shows greater activation in processing of negative sentences while other shows enhanced activation for affirmative sentences. This paper analyzes the affirmative and negative sentence in the brain based on fMRI data employing k-NN classification algorithm. The fMRI data for sentence is extracted and applying info-gain feature selection technique prominent feature vectors that are selected. Using these feature vector, classification of brain state was made possible in sentential negation identification task. The proposed model is able to classify the state of the brain correctly in processing of negative and affirmative sentences with high accuracy." @default.
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- W3155937234 date "2021-01-01" @default.
- W3155937234 modified "2023-09-24" @default.
- W3155937234 title "Sentential Negation Identification of FMRI Data Using k-NN" @default.
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- W3155937234 doi "https://doi.org/10.1007/978-981-33-4893-6_54" @default.
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