CD Skripsi

Analisis Sentimen Ulasan Mahasiswa Pada Sistem Edom Menggunakan Model Lstm Dan Bidirectional Lstm Dengan Attention Mechanism

---

ABSTRACT
Student reviews and opinions regarding lecturer performance evaluations have a very important role in higher education, especially in providing an effective learning experience for students. The Lecturer Evaluation System by Students (EDOM) is an online platform used as a mechanism to collect student feedback on lecturer performance. However, this system is not yet equipped with an automatic review analysis system. Analyzing student reviews manually takes a lot of time and effort, because it requires human power to read and categorize each review. This research proposes the most common method to be used in sentiment analysis using natural language techniques and Natural Language Processing. The models that are often used are LSTM and Bidirectional LSTM which have been proven

---

Ketersediaan

Informasi Detail

Judul Seri

-

No. Panggil

2003113239

Penerbit

Pekanbaru : Universitas Riau FMIPA Sistem Informasi., 2024

Deskripsi Fisik

-

Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

2003113239

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

SISTEM INFORMASI

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar