• Tidak ada hasil yang ditemukan

dengan Deep Learning - Jurnal Teknoinfo

N/A
N/A
Nguyễn Gia Hào

Academic year: 2023

Membagikan "dengan Deep Learning - Jurnal Teknoinfo"

Copied!
11
0
0

Teks penuh

(1)

Analisis Sentimen Berbasis Aspek pada Wisata Halal

dengan Deep Learning - Jurnal Teknoinfo

by Turnitin Checker

Submission date: 03-Dec-2021 03:56PM (UTC+0800) Submission ID: 1719263319

File name: ek_pada_Wisata_Halal_dengan_Deep_Learning_-_Jurnal_Teknoinfo.pdf (470.38K) Word count: 4143

Character count: 24601

(2)

3 4

7 16

(3)

8

12

(4)

2

2

10

17

(5)

5 9

(6)

13

15

(7)

11

(8)
(9)

8 %

SIMILARITY INDEX

6 %

INTERNET SOURCES

4 %

PUBLICATIONS

3 %

STUDENT PAPERS

1 2 %

2 1 %

3 1 %

4 < 1 %

5 < 1 %

Analisis Sentimen Berbasis Aspek pada Wisata Halal dengan Deep Learning - Jurnal Teknoinfo

ORIGINALITY REPORT

PRIMARY SOURCES

Submitted to Universitas Bunda Mulia

Student Paper

Jiecong Lin, Zhaolei Zhang, Shixiong Zhang, Junyi Chen, Ka ‐ Chun Wong. "CRISPR ‐ Net: A Recurrent Convolutional Network Quantifies CRISPR Off‐Target Activities with

Mismatches and Indels", Advanced Science, 2020

Publication

H Soewardi, A D Prabaswari, H A Muzakiroh.

"Development of the Strength Level on Arm for Indonesian People in Lifting Activity", IOP Conference Series: Materials Science and Engineering, 2017

Publication

download.garuda.ristekdikti.go.id

Internet Source

docplayer.info

Internet Source

(10)

6 < 1 %

7 < 1 %

8 < 1 %

9 < 1 %

10 < 1 %

11 < 1 %

12 < 1 %

13 < 1 %

14 < 1 %

15 < 1 %

16 < 1 %

Internet Source

repository.ub.ac.id

Internet Source

Sunardi -, Abdul Fadlil, Suprianto -. "ANALISIS SENTIMEN MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER PADA ANGKET

MAHASISWA", SAINTEKBU, 2018

Publication

ejournal.poltektegal.ac.id

Internet Source

ejournal.sisfokomtek.org

Internet Source

eprints.ums.ac.id

Internet Source

lib.unnes.ac.id

Internet Source

media.neliti.com

Internet Source

repository.its.ac.id

Internet Source

text-id.123dok.com

Internet Source

www.happycampus.com

Internet Source

(11)

17 < 1 %

18 < 1 %

Exclude quotes Off Exclude bibliography On

Exclude matches Off

123dok.com

Internet Source

repositor.umm.ac.id

Internet Source

Referensi

Dokumen terkait

Metode yang digunakan dalam penelitian ini yaitu dengan menerapkan analisis sentimen menggunakan metode Naive Bayes Classifier dan TextBlob dari pustaka TetxBlob