<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "ANALYSIS OF EMPLOYMENT SENTIMENT IN THE \r\nINDONESIAN TELEMATICS FIELD USE MULTINOMIAL \r\nNAIVE BAYES AND VECTOR SPACE MODEL"^^ . "Abstract\r\nIndonesia in 2030 experienced a demographic bonus in the sense that Indonesia would have far more \r\nlabor supply than in previous years. Then there is a discourse that this 4.0 industrial revolution will replace a lot \r\nof work, especially low-skilled work or does not require special skills and rough jobs replaced by machinery and \r\nartificial intelligent (AI). To obtain the value of the percentage of positive, negative and neutral sentiments from \r\nthe public regarding the impact of the industrial revolution 4 against labor and employment on online news \r\nmedia sites and social media Twitter, the authors conducted a study \"analysis of employment sentiment in \r\nIndonesian telematics using multinomial naïve bayes. \" The author uses the preprocessing stages including the \r\ncase folding, tokenizing, stopword, and stemming. Then weighting with Term Frequency - Invers Document \r\nFrequency (TF-IDF). After that the classification stage was done using the multinomial Naive Bayes Classifier \r\nmethod and compare it with the Vector Space model classification. The evaluation used is the Confusion Matrix \r\nevaluation method. This study produced an evaluation value in the multinomial method of Naïve Bayes for news \r\ndata to produce an accuracy of 81.75%, average precision 82.77%, and the average recall of 78.15%. Whereas \r\nwith the Vector Space model method for news data produces an accuracy of 67.88%, average precision 65.59%, \r\nand the average recall of 70.56%. On Twitter data with the Multinomial Naïve Bayes method resulted in an \r\naccuracy of 88.80%, average precision 93.75%, and the average recall of 74.44%. On Twitter data with the \r\nVector Space Model method resulted in 85.60% accuracy, average precision 76.44% and average recall of \r\n86.07%.\r\nKeywords: Mathematics, instructions for authors, manuscript template"^^ . "2021-11" . . "Universitas Pakuan"^^ . . . "Ilmu Komputer, Universitas Pakuan"^^ . . . . . . . . . . . . . . . . . "Aries"^^ . "Maesya"^^ . "Aries Maesya"^^ . . "Tomi"^^ . "Herdiawan"^^ . "Tomi Herdiawan"^^ . . "Eneng"^^ . "Tita Tosida"^^ . "Eneng Tita Tosida"^^ . . "Universitas Pakuan"^^ . . . "Fakultas MIPA"^^ . . . "Ilmu Komputer"^^ . . . . . . "HTML Summary of #2900 \n\nANALYSIS OF EMPLOYMENT SENTIMENT IN THE \nINDONESIAN TELEMATICS FIELD USE MULTINOMIAL \nNAIVE BAYES AND VECTOR SPACE MODEL\n\n" . "text/html" . . . "Ilmu Komputer"@en . .