NAÏVE BAYES ALGORITHM CLASSIFICATION IN SENTIMENT ANALYSIS COVID-19 WIKIPEDIA
نویسندگان
چکیده
In recent years during the pandemic Wikipedia created more than 5,200 new pages regarding COVID-19 cases, with an accumulation of 400 million by mid-June 2020. is one most popular websites our time. this case always integrates and fast research. To get opinion from wikipedia text, sentiment analysis needed. The was conducted using a classification containing public issue in Indonesia. method used study naive bayes classifier (NBC). Naïve Bayes Classifier solving problems. This often both precision data computing. obtained each label, namely positive, negative neutral classes. results tests high accuracy 81%.
منابع مشابه
Scalable sentiment classification for Big Data analysis using Naïve Bayes Classifier
A typical method to obtain valuable information is to extract the sentiment or opinion from a message. Machine learning technologies are widely used in sentiment classification because of their ability to “learn” from the training dataset to predict or support decision making with relatively high accuracy. However, when the dataset is large, some algorithms might not scale up well. In this pape...
متن کاملInterpretable Boosted Naïve Bayes Classification
Voting methods such as boosting and bagging provide substantial improvements in classification performance in many problem domains. However, the resulting predictions can prove inscrutable to end-users. This is especially problematic in domains such as medicine, where end-user acceptance often depends on the ability of a classifier to explain its reasoning. Here we propose a variant of the boos...
متن کاملMacro for Naïve Bayes Classification
The supervised classification also known as pattern recognition, discrimination, or supervised learning consists of assigning new cases to one of a set of pre-defined classes given a sample of cases for which the true classes are known. The Naïve Bayes (NB) technique of supervised classification has become increasingly popular in the recent years. Despite its unrealistic assumption that feature...
متن کاملNaive-Bayes for Sentiment Classification
This report details the findings in building a naive Bayes sentiment classifier for a IMDB movie-review data set using Scala and ScalaNLP. We studied the unigram or bagof-words Bernoulli and Multinomial models and a number of different feature selection techniques, including term frequency, mutual information and Chi-squared. 1. DATA CORPUS The corpus contains of 2000 rated movie reviews, compr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Jurnal Teknik Informatika
سال: 2022
ISSN: ['1979-9160', '2549-7901']
DOI: https://doi.org/10.20884/1.jutif.2022.3.4.311