… 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 …

… 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, …

… , and to comprehend the customer sentiment and product features … through sentiment analysis
rather than manual reading. … According to the literature on the subject, various limitations …

… Density based techniques are highly efficient for clustering unstructured data and less …
Moreover, decision makers face troubles to identify people’s sentiments on a subject or to …

… multidimensional analysis containing reverse geocoding, emotion analysis, subject tags, and
… contained a sentimental training set derived from user reviews, using naïve Bayes methods …

… , quantify, and study affective states and subjective information [1]. A … ing for fine-grained
sentiment classification for the Chinese … Bossomaier, Denclust: A density based seed selection …