… In terms of the compared methods, Huang_Bayes [46] is a language-based method,
conducting sentiment polarity detection via an approximation formula of naive bayes (NB) [37]. It …

… algorithms, Naïve Bayes, maximum entropy classification and … (SDC) by investigating the
density-based algorithm and for … sentimental education: sentiment analysis using subjectivity …

… using Chinese Weibo messages to track victims’ sentiment in a … While some studies identify
subjective documents from a … , KNN, RF and Naïve Bayes classifier methods. The results of …

… improved naive Bayes algorithm was proposed for sentiment … K-means and density-based
clustering were combined to … and use fuzzy inference to enhance the results of Chinese text …

… Subjectivity detection, sentiment classification, polarity determination and strength … Chinese
subjectivity detection using a sentiment density-based naive Bayesian classifier. In Int Conf …

… the Naive Bayes method. Use the extracted subjective clues to calculate the emotion density
… (This work analyzes Chinese data sets; the following table is only for illustration in English.) …

… In this work, we focused on applying the weighted naïve Bayes in … four representative
weighted naïve Bayes schemes. … We use the Pupil Core eye tracker to capture the subject’s …

… (EM) algorithm, of a multinomial Naïve Bayes classification. It used large quantities of unlisted
… most subjective. Sample Sentiment Calculation for a sample tweet as listed in Table 1. …

… Nearly 100 thousand posts data on Chinese Language are taken … comparison of naive Bayes,
maximum entropy classification and … The DBSCAN algorithm is a density-based clustering …

… must be carefully chosen for density-based clustering, and the … viewed as the most objective
and 1 as the most subjective. … The Naive Bayes variation, known as Gaussian Naive Bayes, …