Skripsi

ANALISIS SENTIMEN KOMENTAR INSTAGRAM MENGGUNAKAN LONG SHORT-TERM MEMORY (LSTM) DAN WORD2VEC

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Penilaian

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Social media is a means for people to express their opinions on various topics that occur in the world. One of the most widely used social media is Instagram. Opinions in the form of comments on Instagram are generally written using abbreviated and non-standard language. In analyzing these comments, a method is needed to sort the comments to make it easier to determine the sentiment of the comments. Long Short-Term Memory (LSTM) along with Word Embedding Word2Vec is one of the deep learning methods that are widely used in sentiment analysis research. The result of this research is a model that produces 91% accuracy, 92.70% precision, 89% recall, 90.81% f-measure. Based on the test results, the LSTM method along with Word2Vec can be used to perform sentiment analysis of Instagram comments.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307004700	T127138	T1271382023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T1271382023

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xvii, 85 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.754 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Teknik Informatika
Sosial media

Specific Detail Info

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Statement of Responsibility

FIRA

Other version/related

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