Analisis Sentimen Pada Tweet Dengan Tagar #yangcuranggaktenang Menngunakan Metode Decision Tree C4.5

Andrin, Farahdiva Assyfa (2021) Analisis Sentimen Pada Tweet Dengan Tagar #yangcuranggaktenang Menngunakan Metode Decision Tree C4.5. Other thesis, Universitas Islam Riau.

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Abstract

Twitter servers receive an enormous amount of tweet data every day. Thus, it is necessary to use data by developing a system to conduct data mining from the amount of data that will be used for certain interests, one of which is to analyze public anemos against the issue of post-election fraud 2019. Classification techniques are applied to classify tweet data. Classified, tweet data through preprocessing and weighting terms frequency and tf-idf. This weighting results in training and testing data that will be classified using a decision tree with C4.5 Algorithm to determine Sentiment Analysis. The test results are obtained with a fairly high accuracy, namely 80%. Analysis of the public anemo sentiment on the issue of post-2019 presidential election fraud is the focus.

Item Type: Thesis (Other)
Uncontrolled Keywords: Twitter, Analisis Sentimen, Decision Tree C4.5
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: > Teknik Informatika
Depositing User: Mia
Date Deposited: 29 Oct 2021 07:38
Last Modified: 29 Oct 2021 07:38
URI: http://repository.uir.ac.id/id/eprint/3742

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