ANALISIS SENTIMEN TERHADAP UNIVERSITAS SRIWIJAYA BERDASARKAN OPINI MASYARAKAT DARI TWITTER MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER

HALFI, NABILLA and Firdaus, Masagus Afriyan and Meiriza, Allsela (2019) ANALISIS SENTIMEN TERHADAP UNIVERSITAS SRIWIJAYA BERDASARKAN OPINI MASYARAKAT DARI TWITTER MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER. Undergraduate thesis, Sriwijaya University.

	Text RAMA_57201_09031381720026.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_57201_09031381720026_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (9MB) | Request a copy
Preview	Text RAMA_57201_09031381720026_0012028203_0013058302_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_57201_09031381720026_0012028203_0013058302_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (474kB) | Request a copy
	Text RAMA_57201_09031381720026_0012028203_0013058302_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (377kB) | Request a copy
	Text RAMA_57201_09031381720026_0012028203_0013058302_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_57201_09031381720026_0012028203_0013058302_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (9kB) | Request a copy
	Text RAMA_57201_09031381720026_0012028203_0013058302_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (10kB) | Request a copy
	Text RAMA_57201_09031381720026_0012028203_0013058302_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (852kB) | Request a copy

Abstract

Twitter is one of the microblogging social media where users can search for specific topics and discuss current issues. Some short messages or tweets can help the community. This message can be a source of data to assess public opinion, from this opinion there arises a variety of sentiments, some provide positive sentiments and also negative sentiments about responses to the literature related to Sriwijaya University. From this debate the authors analyze to build an application using the Naïve Bayes estimate Classifier which is a calculation for classifying public opinion from Twitter and obtaining training data through the web-based TAGS v6.1 application. This classification process is carried out through the preprocess evaluation stage and the classification process itself. From this study the authors made an application that can obtain information about positive or negative sentiments based on public opinion from Twitter related to the services and performance of Sriwijaya University.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Twitter, Analisis Sentimen, Naïve Bayes Classifier
Subjects:	Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA3038-5190 Information resources (General)
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Users 4331 not found.
Date Deposited:	24 Jan 2020 08:38
Last Modified:	24 Jan 2020 08:38
URI:	http://repository.unsri.ac.id/id/eprint/25737

Actions (login required)

View Item