Sentiment Analysis of Algorithms using VIKOR Method
2021
Sentiment analysis in VIKOR Method. Sentiment analysis is a product or a positive about the topic, Negative or neutral opinion of the text Determines whether a part is expressive It is an automated process. Sentiment By using analysis, Survey responses, reviews, support to encode customer data like Companies put in endless hours No need to spend. In the predictive process, the invisible a feature to convert text into feature vectors Extraction is used, they are. From this analysis the VIKOR technique is the most accurate determines a worst-case-good solution, however, is variation these Distance is not taken into account. VIKOR the approach is Multi-Criteria Selection (MCDM) or Multicriteria selection is an evaluation technique.Alternative: Accuracy (%),Precision (%),Recall (%), Score (%).Assessment Option: KNN, Decision Tree, SVM, Logistic Regression, Naïve Bays, Random Forest, Google,Microsoft,Twitter. It is solved by using the VIKOR method. It is the data set of this paper. The result it is seen that Naïve Bayesis got the first rank where as is the Logistic Regressionis Very low rank. In this paper Naïve Bayesis got the first rank whereas is the Logistic Regressionis having the lowest rank.