Penerapan Text Mining Analisis Sentimen Mengenai Vaksin Covid - 19 Menggunakan Metode Naïve Bayes

Fathonah, Fira; Herliana, Asti

doi:10.34128/jsi.v7i2.331

Cited by 15 publications

(14 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Text mining is the process of mining data in the form of text obtained through documents to find words related to the contents of the document so that an analysis of the relationship from the text sources can be carried out [7]. Text mining is the process of analyzing large amounts of unstructured text data with the help of software that can identify certain patterns and keywords in the data [8]. According to the above understanding, it can be said that text mining is a process to manage data in the form of text that comes from certain documents to get words or patterns that are interrelated to get meaningful and interesting information in it.…”

Section: Text Miningmentioning

confidence: 99%

Latent Dirichlet Allocation Utilization as a Text Mining Method to Elaborate Learning Effectiveness

Rudiman,

Rahmi

2023

J.Sci.Eng

View full text Add to dashboard Cite

Learning method is a way to explain the lesson materials to students so that the learning process can occur in students as an effort to achieve the goals. Learning methods can be said to be a success if students are active, both physically, mentally, and socially in the learning process, in addition to showing high enthusiasm for learning and having self-confidence. The purpose of this study is to classify the opinions of Indonesian students regarding the existing learning methods and what learning methods they expected. In order to evaluate existing learning methods using the latent dirichlet allocation method. The data used comes from tweets of Twitter users within the range of January to March 2022. The data is taken using the scrapping method through the help of the python twisel library and totaled to 3778 data, then preprocessed through the nltk and Sastrawi libraries. The results of this analysis stated that student opinions can be classified into 3 major topics which state students' opinions regarding effective learning methods, student difficulties in applicable learning methods, and high cross-departmental interest.

show abstract

Section: Text Miningmentioning

confidence: 99%

Latent Dirichlet Allocation Utilization as a Text Mining Method to Elaborate Learning Effectiveness

Rudiman,

Rahmi

2023

J.Sci.Eng

View full text Add to dashboard Cite

show abstract

“…The following is an image containing sentiment data provided by netizens: In the process of scraping the data, it is hoped that this opinion can be concluded as an accumulation of reactions using the sentiment analysis method of the Naïve Bayes algorithm. Naïve Bayes is a method that is suitable for calculations in this study because this algorithm is very easy to understand, faster in calculating accuracy and only requires a little training data used [9], and also the Naïve Bayes method is very influential for this study because it has a high enough accuracy than the C45 method [10].…”

Section: Figure 1 Facebook User Graphmentioning

confidence: 99%

Sentiment Analysis of Presidential Candidates Anies Baswedan and Ganjar Pranowo Using Naïve Bayes Method

Saputra

Nurbagja

Turiyan

2022

JSG

View full text Add to dashboard Cite

Presidential elections in Indonesia are carried out in a democratic manner in which the people choose the figures who will nominate themselves for president. With the presidential nomination, there will be many surveys of several figures who have electability to become presidential candidates. Based on a survey that has been issued by several figures who are running for president, namely Anies Baswedan and Ganjar Pranowo, who are the benchmarks for the community to be able to express their opinions from existing social media, one of which is Facebook. This study takes data through a scraping process which is then cleaned or cleaned, then five labels are given, namely: 1 (very negative), 2 (negative), 3 (neutral), 4 (positive), and 5 (very positive). aims to see which sentiment is the highest given by warganet to the upcoming presidential election. This study concludes that netizens have negative sentiments towards figures in the upcoming presidential election. seen from the data randomly generated 49% negative comments, 35% positive comments and 16% neutral. In addition, from 510 data taken by classification using the Naïve Bayes method, as well as testing using the 10-fold cross validation method with Quadgram tokenization resulted in an accuracy of 42.75%, precision 42.10%, and recall 42.70%.

show abstract

“…Sebuah cluster adalah sekumpulan objek yang digabung bersama karena persamaan atau kedekatannya. Teknik Clustering digunakan untuk menemukan kata atau pola yang diinginkan [25]. Dalam penelitian ini, menggunakan teknik Clustering Dendrogram dimana mengelompokkan teks menjadi satu cluster.…”

Section: Clusteringunclassified

Implementasi Text Mining untuk Mengetahui Opini Masyarakat Tentang Climate Change

Purnajaya,

Lieputra,

Tayanto

et al. 2022

JOINT

View full text Add to dashboard Cite

Climate change adalah sesuatu yang terjadi dalam kehidupan kita sehari-hari dan sangat berpengaruh dalam kehidupan kita. Dampaknya cukup besar, seperti perubahan curah hujan, perubahan panjang musim dan sebagainya. Untuk menghadapi climate change, masyarakat memberikan opininya melalui Twitter dengan harapan adanya perubahan baik yang akan terjadi. Untuk mengetahui kesimpulan opini masyarakat tentang climate change dilakukan text processing dengan menggunakan metode text mining. Text mining adalah penambangan data berupa teks yang kemudian melalui beberapa tahapan seperti preprocessing sampai clustering. Hasil text mining yang diperoleh yaitu mengelompokan kata-kata opini pengguna twitter menjadi lima kelompok yaitu kelompok kata kunci, kelompok hastag yang sering digunakan, kelompok dampak yang dirasakan masyarakat, kelompok dampak utama climate change, dan kelompok objek alam yang dirugikan karena climate change.

show abstract

Penerapan Text Mining Analisis Sentimen Mengenai Vaksin Covid - 19 Menggunakan Metode Naïve Bayes

Cited by 15 publications

References 1 publication

Latent Dirichlet Allocation Utilization as a Text Mining Method to Elaborate Learning Effectiveness

Latent Dirichlet Allocation Utilization as a Text Mining Method to Elaborate Learning Effectiveness

Sentiment Analysis of Presidential Candidates Anies Baswedan and Ganjar Pranowo Using Naïve Bayes Method

Implementasi Text Mining untuk Mengetahui Opini Masyarakat Tentang Climate Change

Contact Info

Product

Resources

About