PENGARUH SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) PADA SENTIMEN ANALISIS MENGGUNAKAN ALGORITMA NAIVE BAYES CLASSIFIER

POLINGAY, NURMASITA ANAWULA MUSVITASARI and Yusliani, Novi and Marieska, Mastura Diana (2020) PENGARUH SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) PADA SENTIMEN ANALISIS MENGGUNAKAN ALGORITMA NAIVE BAYES CLASSIFIER. Undergraduate thesis, Sriwijaya University.

[thumbnail of RAMA_55201_09021981621146.pdf] Text
RAMA_55201_09021981621146.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (5MB) | Request a copy
[thumbnail of RAMA_55201_09021981621146_TURNITIN.pdf] Text
RAMA_55201_09021981621146_TURNITIN.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (10MB) | Request a copy
[thumbnail of RAMA_55201_09021981621146_0008118205_0021038607_01_front_ref.pdf]
Preview
Text
RAMA_55201_09021981621146_0008118205_0021038607_01_front_ref.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (1MB) | Preview
[thumbnail of RAMA_55201_09021981621146_0008118205_0021038607_02.pdf] Text
RAMA_55201_09021981621146_0008118205_0021038607_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (818kB) | Request a copy
[thumbnail of RAMA_55201_09021981621146_0008118205_0021038607_03.pdf] Text
RAMA_55201_09021981621146_0008118205_0021038607_03.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (1MB) | Request a copy
[thumbnail of RAMA_55201_09021981621146_0008118205_0021038607_04.pdf] Text
RAMA_55201_09021981621146_0008118205_0021038607_04.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (2MB) | Request a copy
[thumbnail of RAMA_55201_09021981621146_0008118205_0021038607_05.pdf] Text
RAMA_55201_09021981621146_0008118205_0021038607_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (424kB) | Request a copy
[thumbnail of RAMA_55201_09021981621146_0008118205_0021038607_06.pdf] Text
RAMA_55201_09021981621146_0008118205_0021038607_06.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (225kB) | Request a copy
[thumbnail of RAMA_55201_09021981621146_0008118205_0021038607_06_ref.pdf] Text
RAMA_55201_09021981621146_0008118205_0021038607_06_ref.pdf - Bibliography
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (353kB) | Request a copy
[thumbnail of RAMA_55201_09021981621146_0008118205_0021038607_07_lamp.pdf] Text
RAMA_55201_09021981621146_0008118205_0021038607_07_lamp.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (254kB) | Request a copy

Abstract

Sentiment analysis is a multidisciplinary field of study that is used to analyze people's sentiments towards an entity. Sentiment analysis can be coNducted using Twitter data from social media Twitter. However, the amount of tweet data is sometimes unbalanced, where the amount of data is more in one class compared to other classes or what is known as imbalanced data. Naïve Bayes is an algorithm that can be used to analyze a sentiment. However, Naïve Bayes itself is not equipped to solve the problem of imbalanced data. To solve this problem, one approach can be done by applying SMOTE (Synthetic Minority Oversampling Technique). From the test results using four different datasets, it shows that the application of SMOTE by synthesizing data in the minor class in sentiment analysis using the Naïve Bayes algorithm has an effect with an average increase of accuracy is 5%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Analisis sentimen, imbalanced data, Naïve Bayes, SMOTE (Synthetic Minority Oversampling Technique).
Subjects: P Language and Literature > P Philology. Linguistics > P98-98.5 Computational linguistics. Natural language processing
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Users 9975 not found.
Date Deposited: 19 Jan 2021 06:01
Last Modified: 20 Jan 2021 03:08
URI: http://repository.unsri.ac.id/id/eprint/40414

Actions (login required)

View Item View Item