Skripsi

ANALISIS SENTIMEN CALON PRESIDEN 2024 PADA TWITTER MENGGUNAKAN SUPPORT VECTOR MACHINE

---

Penilaian

---

Twitter has many features that can be used. One of these features is that users can share tweets or news in the form of text, photos or videos. One of the useful data on information is sentiment analysis. To find out how much the response from the public is related to the 2024 Indonesian presidential election, is it more inclined to positive sentiment, negative or neutral sentiment. One method of sentiment analysis is SVM (Support Vector Machine). The sentiment analysis on social media Twitter on presidential candidates in the 2024 election using the SVM method was tested on various percentage of data. From the test, the accuracy value is 0.66%. Several factors that influence the level of accuracy value are the percentage of training data and testing data, the data pre-processing process performed, and the percentage of positive data negative or neutral.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2307003698	T127472	T1274722023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1274722023

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xiv, 65 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

006.754 07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

-

Subject(s)

Jurusan Teknik Informatika
Situs Jejaring Sosial

Specific Detail Info

-

Statement of Responsibility

SEPTA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment