Sentiment Analysis Techniques in Recent Works Using GRA Methodology

: A text is negative, positive, or neutral to identify that, the sentiment analysis engine Learning and Natural Language Processing uses. Two main approaches rule-based and automated Sentiment analysis. Logistic regression is a good model because it is even on large datasets Trains quickly and is very strong and provides results. Other good model choices include SVMs, Includes random forests, and naive bays. Sentiment analysis is sentiment mining Also referred to as, it is natural language (NLP) approach to processing, which is a Identify the emotional tone behind the text shows. About a product, service, or idea to determine and categorize concepts This is a popular way for companies. Feeling Analysis is performed Words as positive, negative, or neutral Text analysis and natural language for classification Using methods that use processing. It's about companies branding their customers an overview of how they feel allows for getting. Sentiment analysis is an analytical technique which to determine the emotional meaning of communication Statistics, Natural Language Processing, and Machine Learning and uses learning. Company's Customer messages, call center contacts, online Reviews, social media posts, and other content they use sentiment analysis to evaluate. Repustate's sentiment analysis software can discover the sense of slang and emoji’s, and is the sentiment behind the message negative or Determine if positive. Restate your Try out the tool to see if it suits your needs offers a free trial. Sentiment analysis technique in GRA (Gray-related analysis) method Alternative: Accuracy, Precision, and Recall. Evaluation Preference: Random forest (RF), Support vector machine (SVM), K-nearest neighbor (KNN), Naïve Bayesian (NB). from the result it is seen that Random Forest (RF) and is got the first rank whereas is the K-nearest neighbor (KNN) got is having the lowest rank. The value of the dataset for Sentiment analysis technique in GRA (Gray-related analysis) method shows that it results in Random forest (RF) and top ranking.