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Implementasi Algoritma Term Frequency Inverse Document Frequency (TF-IDF) dalam Menganalisis Sentimen Masyarakat Terhadap Covid-19 Varian Omicron

Fiqih Ainul Qhabib, Abd. Charis Fauzan, Harliana Harliana

The latest variant was detected on November 24, 2021, namely the Omicron variant WHO said, Omicron was one of the Covid-19 variants that had mutated, with a very fast spread rate. The Government Republic of Indonesia has officially banned all foreigners f... see more

Analysis of Omicron Sentiment in Indonesia | Term Frequency Inverse Document Frequency (TF-IDF) | Netlytic

JTIM : Jurnal Teknologi Informasi dan Multimedia , 2023

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SENTIMENT ANALYSIS OF THREE-PERIOD POLEMICS USING K-NEAREST NEIGHBOR WITH TF-IDF WEIGHTING

Siti Ernawati, Risa Wati

The issue of changing the presidential term which was originally 2 periods of government into 3 periods raises pros and cons in the community. Many 3-period hashtags have sprung up on social media twitter. So that conducted research on sentiment analysis ... see more

Sentiment Analysis | 3 Periods | K-Nearest Neighbor | TF-IDF

Jurnal Riset Informatika , 2022

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Perbandingan Metode TF-ABS dan TF-IDF Pada Klasifikasi Teks Helpdesk Menggunakan K-Nearest Neighbor

Riza Adrianti Supono, Muhammad Azis Suprayogi

Distribution of tickets to the destination unit is a very important function in the helpdesk application, but the process of distributing tickets manually by admin officers has drawbacks, namely ticket distribution errors can occur and increase ticket com... see more

helpdesk | term weighting | text classification | tf-abs | tf-idf

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) , 1910

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Analisis Sentimen Produk Permainan menggunakan Metode TF-IDF dan Algoritma K-Nearest Neighbor DOI : 10.30743/infotekjar.v6i1.3893 | Abstract views : 33 times

Rifki Kosasih,Anggi Alberto

Pada situs belanja online, terdapat kolom komentar atau rating dari pembeli yang telah melakukan transaksi pada produk tersebut. Dengan adanya fitur penilaian produk berdasarkan rating tersebut, pihak pembeli dapat mengetahui seberapa baik atau buruknya p... see more

Analisis Sentimen | TF-IDF | KNN | Case Folding | Tokenizing

InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) , 2021

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Sentiment analysis of game product on shopee using the TF-IDF method and naive bayes classifier Rifki Kosasih(1); Anggi Alberto(2) (1) Universitas Gunadarma (2) Universitas Gunadarma () Corresponding Author

Every product that is sold on an online shopping site, there is a column of reviews from buyers who have made transactions on that product. These reviews are in comments and ratings (from one to five stars) that are written and given by buyers based on th... see more

Feature | Product | Sentiment Analysis | TF-IDF | Naive Bayes Classifier

ILKOM Jurnal Ilmiah , 2021

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Sentiment Analysis Provider By.U on Google Play Store Reviews with TF-IDF and Support Vector Machine (SVM) Method

Susanti Fransiska,Rianto Rianto,Acep Irham Gufroni

Provider By.U is a relatively new and attractive telecommunications service with claims to be the first digital provider in Indonesia. All services are done digitally with the By.U application that offers convenience. Even so not all users are satisfied w... see more

Classification | Provider By.U | Sentiment Analysis | Support Vector Machine | TF-IDF

Scientific Journal of Informatics , 2020

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Optimalisasi Algoritma Rabin Karp menggunakan TF-IDF Dalam Pencocokan Text Pada Penilaian Ujian Essay Otomatis DOI : 10.30743/infotekjar.v4i2.2294 | Abstract views : 159 times

Saeful Bahri,Rusda Wajhillah

Penilaian capaian belajar merupakan salah satu tolak ukur dalam keberhasilan proses belajar mengajar, salah satu metode pengukuran capaian tersebut adalah dengan penilaian essay, namun pada prosesnya penilaian dengan essay terdapat beberapa kekurangan dia... see more

Rabin Karp | TF-IDF | Penilaian Otomatis | TF-IDF

InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) , 2020

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Mobile Forensics for Cyberbullying Detection using Term Frequency - Inverse Document Frequency (TF-IDF)

Imam Riadi,Sunardi Sunardi,Panggah Widiandana

The case of cyberbullying in Indonesia was ranked third in the world in 2015 and as much as 91% was experienced by children [1]. RSA Anti Fraud Command Center (AFCC) report reports that in 2015 45% of transactions were carried out through mobile channels,... see more

Cyberbullying | TF | IDF | Forensics | Mobile

Jurnal Teknik Elektro Komputer dan Informatika , 2019

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Aplicación del factor TF-IDF en el análisis semántico de una colección documental

Andrés Vuotto,Celeste Bogetti,Gladys Fernández

Objetivo. Describe la aplicación de una herramienta para el análisis semántico de una colección documental, basada en el uso de la frecuencia de término – frecuencia inversa de documento (TF-IDF). Metodología. Se desarrolla un sistema, basado en lenguaje ... see more

Análisis semántico | TF-IDF | Recuperación de información | Minería de datos | Extracción de información en bases de datos

Biblios , 2015

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