A SYSTEM AND METHOD FOR PREDICTING HATE SPEECH ON SOCIAL NETWORKING PLATFORMS

The present invention generally relates to a system for predicting hate speech on social networking platforms comprises a pre-processing module for pre-processing text speech collected from social media sites for removing unwanted information from the speech; a decision-making module for extracting...

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Bibliographische Detailangaben
Hauptverfasser:	PANDIARAJ, S, RATHNA, R, SARANYA, A, DEEPTHA, R, VEERAMANI, R, KIRUBANANTHAM, P
Format:	Patent
Sprache:	eng
Schlagworte:	ACOUSTICS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION
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Beschreibung
Zusammenfassung:	The present invention generally relates to a system for predicting hate speech on social networking platforms comprises a pre-processing module for pre-processing text speech collected from social media sites for removing unwanted information from the speech; a decision-making module for extracting features using adaptive polynomial lexicon partial least square method thereafter negation lexicon creation and correlation analysis using gold elephant herd optimization approach (GEHO); and a decision classification module for classifying the speech into hate speech and non-harmful speech depending upon ranking generated by a discrete feed forward perceptron neural network. fa a, I-