PENENTUAN TOPIK UTAMA TEKS BAHASA INDONESIA MENGGUNAKAN COSINE SIMILARITY DAN POS TAGGER

FERNANDO, AREGA GERI and Yusliani, Novi and Rodiah, Desty (2020) PENENTUAN TOPIK UTAMA TEKS BAHASA INDONESIA MENGGUNAKAN COSINE SIMILARITY DAN POS TAGGER. Undergraduate thesis, Sriwijaya University.

[thumbnail of RAMA_55201_09021281320003.pdf] Text
RAMA_55201_09021281320003.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_09021281320003_TURNITIN.pdf] Text
RAMA_55201_09021281320003_TURNITIN.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (7MB) | Request a copy
[thumbnail of RAMA_55201_09021281320003_0008118205_8802870018_01_front_ref.pdf]
Preview
Text
RAMA_55201_09021281320003_0008118205_8802870018_01_front_ref.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (1MB) | Preview
[thumbnail of RAMA_55201_09021281320003_0008118205_8802870018_02.pdf] Text
RAMA_55201_09021281320003_0008118205_8802870018_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (675kB) | Request a copy
[thumbnail of RAMA_55201_09021281320003_0008118205_8802870018_03.pdf] Text
RAMA_55201_09021281320003_0008118205_8802870018_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_09021281320003_0008118205_8802870018_04.pdf] Text
RAMA_55201_09021281320003_0008118205_8802870018_04.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_09021281320003_0008118205_8802870018_05.pdf] Text
RAMA_55201_09021281320003_0008118205_8802870018_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (291kB) | Request a copy
[thumbnail of RAMA_55201_09021281320003_0008118205_8802870018_06.pdf] Text
RAMA_55201_09021281320003_0008118205_8802870018_06.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (185kB) | Request a copy
[thumbnail of RAMA_55201_09021281320003_0008118205_8802870018_07_ref.pdf] Text
RAMA_55201_09021281320003_0008118205_8802870018_07_ref.pdf - Bibliography
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (297kB) | Request a copy
[thumbnail of RAMA_55201_09021281320003_0008118205_8802870018_08_lamp.pdf] Text
RAMA_55201_09021281320003_0008118205_8802870018_08_lamp.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (396kB) | Request a copy

Abstract

Information is a very important thing to add insight and gain knowledge. Hence, there are many ways to obtain information. One of them is by reading but it takes a long time to determine the type of information in the text. Therefore, it takes a way to find out the type of information quickly, one of which is by building a system that can recognize the main topic of Indonesian text. This study applied Cosine Similarity and POS Tagger. Cosine similarity was used to compare the similarity of the text title to the content of each sentence and POS Tagger was used to recognize the types of words and noun phrases that would be recognized as the main topic. Besides, the data used in this study were 50 abstract texts of Indonesian scientific papers. The software to determine the main topic using Cosine Similarity and POS Tagger was successfully performed with an accuracy of 28%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Topic Determination, Cosine Similarity, POS Tagger, Phrase Chunking
Subjects: Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Users 10681 not found.
Date Deposited: 04 Feb 2021 06:48
Last Modified: 04 Feb 2021 06:48
URI: http://repository.unsri.ac.id/id/eprint/42012

Actions (login required)

View Item View Item