KLASIFIKASI EMOSI PADA TEKS TWITTER MENGGUNAKAN LONG SHORT-TERM MEMORY

GANESYAH, BENTAR SATRIA and Abdiansah, Abdiansah and Utami, Alvi Syahrini (2022) KLASIFIKASI EMOSI PADA TEKS TWITTER MENGGUNAKAN LONG SHORT-TERM MEMORY. Undergraduate thesis, Sriwijaya University.

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Abstract

Emotions have an important role in everyday life because the expression of emotions can help to provide information about the status of an individual's interaction with other individuals and their environment. There are six emotions, such as: Happy, sad, scared, disgusted, angry, and surprised. One of the platform that many people choose to express their emo tions is through social media. This study aims to build a software to classify emotions on twitter text using Long Short�Term Memory and determine its performance. Data used in this study were collected through crawling on Twitter using rapidminer to get a total of 24,000 tweets. The data that have been collected then divided into training data and testing data, then the data went through the pre-processing stage before being entered into the LSTM layer. The data were then classified using the LSTM method and trained using 10 fold K-Fold Cross Validation. Based on the results of the classification, it is known that the greatest accuracy is in the K -Fold 5 with the accuracy score of 88.30% and the loss value of 0.022.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Klasifikasi, Emosi, Cross Validation, Long Short-Term Memory
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General) T Technology > T Technology (General) > T1-995 Technology (General) > T11 General works > T11.5 Translating T Technology > T Technology (General) > T10.5-11.9 Communication of technical information > T11 General works > T11.5 Translating T Technology > T Technology (General) > T10.5-11.9 Communication of technical information > T11.5 Translating T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Bentar Satria Ganesyah
Date Deposited:	21 Jul 2022 06:50
Last Modified:	21 Jul 2022 06:50
URI:	http://repository.unsri.ac.id/id/eprint/74293

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