Enhanced sentiment analysis algorithms for multi-weight polarity selection on twitter dataset

HIGHLIGHTS

  • who: Ayman Mohamed Mostafa from the College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia have published the Article: Enhanced Sentiment Analysis Algorithms for Multi-Weight Polarity Selection on Twitter Dataset, in the Journal: (JOURNAL)
  • what: Applying both methods for obtaining high accuracy and efficiency with low user intervention during the analysis process is considered a challenging process. A feature selection is applied to the processed data by creating four models and a sentiment classification using a support vector machine (SVM) algorithm is implemented to provide the accuracy of the models. In this . . .

     

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