Sentiment Analysis Of Traveloka App Using Naïve Bayes Classifier Method

Watrianthos, Ronal; Suryadi, Sudi; Irmayani, Deci; Nasution, Marnis; Simanjorang, Elida Florentina Sinaga

doi:10.31227/osf.io/2dbe4

Cited by 13 publications

(9 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Analisis sentimen digunakan untuk menilai suka ataupun tidak suka pada suatu barang dan jasa (Indriati & Ridok, 2016). Tujuan dari analisis sentimen tidak hanya untuk mendapatkan sentimen, tetapi juga untuk melihat opini tentang topik atau objek dalam teks apakah memiliki sentimen positif atau negatif (Watrianthos, Suryadi, Irmayani, Nasution, & Simanjorang, 2019).…”

Section: Tinjauan Pustaka 21 Analisis Sentimenunclassified

Klasifikasi Ulasan Pengguna Aplikasi Discord Menggunakan Metode Information Gain Dan Naïve Bayes Classifier

Salsabila,

Sari,

Mayasari

2023

infotech

View full text Add to dashboard Cite

Pada saat terjadinya covid-19, aplikasi discord banyak di download oleh masyarakat karena dapat digunakan untuk pembelajaran yang dilakukan secara daring dari rumah. Banyak ulasan yang diberikan oleh pengguna aplikasi discord di google play store. Ulasan dari pengguna dapat berisi informasi bagi pengembangan aplikasi, oleh karena itu dilakukan klasifikasi ulasan pengguna aplikasi discord. Penelitian ini menggunakan metodologi CRISP-DM dengan tahap awal dilakukan scraping web, lalu data diberi label positif dan negatif menggunakan InSet Lexicon dan setelah itu divalidasi oleh ahli bahasa. Setelah divalidasi, data akan dibersihkan dan melalui tahap preprocessing. Lalu data akan melalui tahap seleksi fitur menggunakan Information Gain dan dilanjutkan dengan algoritma Naïve Bayes Classifier. Hasil klasifikasi dengan algoritma Naive Bayes Classifier menggunakan Information Gain dibandingkan dengan yang tidak menggunakan Information Gain. Setelah dibandingkan didapatlah nilai accuracy tertinggi yaitu 84%, precision 84%, recall 84%, f1-score/f-measure 83% yang didapatkan dengan 90% data training dan 10% data testing menggunakan Information Gain.

show abstract

Section: Tinjauan Pustaka 21 Analisis Sentimenunclassified

Klasifikasi Ulasan Pengguna Aplikasi Discord Menggunakan Metode Information Gain Dan Naïve Bayes Classifier

Salsabila,

Sari,

Mayasari

2023

infotech

View full text Add to dashboard Cite

show abstract

“…The data preprocessing process is carried out to remove noise and clarify features and clean up by removing unnecessary attributes. This process will cultivate a text into data that is easily accepted by the system when the main process is carried out [8].…”

Section: Preprocessing Datamentioning

confidence: 99%

Sentiment Analysis of Stakeholder Satisfaction Measurement

Ratniasih¹,

Jayanti²

2022

Indonesian J. Comput. Cybern. Syst.

View full text Add to dashboard Cite

Measuring the satisfaction of stakeholders is very impoirtant in order to get feedback and input for the purposes of developing and implementing the improvement strategies. ITB STIKOM Bali routinely measures student stakeholder satisfaction every semester. This study aims to analyze stakeholder comments to generate sentiment analysis on stakeholder satisfaction. The data used are comments on the results of the measurement of stakeholder satisfaction (students) for the Odd Semester of 2020/2021 which are filled out through questionnaire. The algorithm used in this research is the Naïve Bayes Classifier (NBC). The research method in this study consisted of several stages, namely problem identification and literature study, data collection on stakeholder satisfaction (students), data preprocessing, feature extraction in order to facilitate classification using the Naïve Bayes Classifier (NBC) algorithm. The training data used is 200 data while the training data is 2133 data. The results of this study can provide recommendations to ITB STIKOM Bali for the results of student comments as a whole where the percentage of sentiment generated is 58% positive sentiment and 42% negative sentiment.

show abstract

“…Naïve Bayes merupakan salah satu algoritma yang dapat digunakan pada klasifikasi data khususnya pada klasifikasi teks [19]. Algoritma tersebut tersebut terbukti dapat memperoleh hasil yang cukup memuaskan jika digunakan untuk klasifikasi teks [20], [21].…”

Section: Pendahuluanunclassified

Analisis Sentimen Produk Kecantikan Jenis Serum Menggunakan Algoritma Naïve Bayes Classifier

Hamka

Alfatari

Sari³

2022

json

View full text Add to dashboard Cite

The increased consumption of beauty products as a lifestyle has increased public opinion on the beauty products used. Generally, reviews are given through posts on social media. This study discusses the classification of sentiment analysis on the use of serum beauty products on Twitter using the Naïve Bayes Multinomial algorithm. Sentiment analysis of serum beauty products is carried out to provide information and preferences to the public regarding the quality of a product. The results of the information and preferences become a reference for consideration in choosing the appropriate serum beauty product. The data used in this study were 27,587 tweets using three keywords, namely "serum," "face serum", and "beauty serum". Tweet data is divided into training data and test data with the number of training data as much as 22,070 tweets and test data as much as 5,518 tweets. The data is categorized using the lexicon senticnet 7 dictionary based on polarity values. The results of the analysis of positive sentiment are 35%, negative sentiment is 63.8%, and neutral sentiment is 1.2%. The classification results using Naïve Bayes Multinomial obtain the highest accuracy value of 80%. The Confusion Matrix results get the highest precision value of 88%, the highest recall of 81%, and the highest f1-Score of 86%.

show abstract

Sentiment Analysis Of Traveloka App Using Naïve Bayes Classifier Method

Cited by 13 publications

References 8 publications

Klasifikasi Ulasan Pengguna Aplikasi Discord Menggunakan Metode Information Gain Dan Naïve Bayes Classifier

Klasifikasi Ulasan Pengguna Aplikasi Discord Menggunakan Metode Information Gain Dan Naïve Bayes Classifier

Sentiment Analysis of Stakeholder Satisfaction Measurement

Analisis Sentimen Produk Kecantikan Jenis Serum Menggunakan Algoritma Naïve Bayes Classifier

Contact Info

Product

Resources

About