Sanggara Fathullah, Nadhif (2020) Analisis Sentimen Terhadap Rating dan Ulasan Film dengan Menggunakan Metode Klasifikasi Naïve Bayes dengan Fitur Lexicon- Based. Sarjana thesis, Universitas Brawijaya.
Abstract
Film adalah sebuah karya seni yang banyak digemari di era sekarang. Jenis film sangat beragam dan setiap jenis film memiliki penggemarnya sendiri. Setiap penggemar memiliki penilaian terhadap film yang mereka sukai. Rating menjadi penilaian terhadap suatu film dengan skala tertentu. Selain itu, ulasan menjadi penjabaran penilaian penggemar terhadap film. Aspek penilaian yang terdapat dalam ulasan antara lain penyampaian cerita, teknik pengambilan gambar, lakon pemerannya, efek visual dan lain sebagainya. Dalam ulasan sendiri terdapat kritik atau komentar yang berisikan sentimen terhadap film tersebut. Analisis sentimen dapat membantu penggemar film untuk melihat sentimen yang dimiliki suatu film tergolong ke dalam kelompok sentimen positif atau negatif. Dalam proses analisis sentimen dapat menggunakan metode klasifikasi Naïve Bayes dengan fitur Lexicon-Based. Pada proses klasifikasinya akan diperhitungkan kemunculan kata- kata yang memiliki muatan sentimen dalam ulasan serta memperhitungkan probabilitas nilai rating terhadap kelas sentimen positif atau negatif. Berdasarkan hasil pengujian, nilai akurasi, precision, dan recall dengan pemilihan fitur berupa penghapusan stopword mendapatkan hasil masing-masing 0,9, 0,9, dan 0,9, sedangkan nilai akurasi, precision, dan recall dengan pemilihan fitur berupa Lexicon-Based memiliki hasil masing-masing 1, 1, dan 1.
English Abstract
Film is a work of art which liked a lot by movie fans today. The types of films are very diverse and each type of film has its own fans. Every fan has their own assessment of the film they like. Rating becomes an assessment of a film with a certain scale. In addition, the review becomes a translation of fan ratings of the film. The assessment aspects contained in the review include the delivery of stories, shooting techniques, actors, visual effects, etc. In the review itself there are criticisms or comments that contain sentiment towards the film. Sentiment analysis can help film fans determine whether a film has positive or negative sentiments. In order to get the sentiment analysis result, the Naïve Bayes Classification Method is used with Lexicon-Based features selection. In the classification process, the appearance of sentiment words are calculated as well as the rating features to determine the sentiment class. Based on the test results, the value of accuracy, precision, and recall has a result of 0.9, 0.9, and 0.9 respectively by selecting the feature in the form of deletion of stopword while the value of accuracy, precision, and recall has a result of 1, 1, and 1 respectively by selecting features in the form of Lexicon-Based.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | 0520150269 |
| Uncontrolled Keywords: | penambangan teks, analisis sentimen, ulasan, rating, film, Naïve Bayes, Lexicon-Based.,text mining, sentiment analysis, review, rating, Film, Naïve Bayes, Lexicon-Based |
| Subjects: | 600 Technology (Applied sciences) > 621 Applied physics > 621.3 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | Unnamed user with username nova |
| Date Deposited: | 05 Sep 2022 03:50 |
| Last Modified: | 05 Sep 2022 03:50 |
| URI: | http://repository.ub.ac.id/id/eprint/193934 |
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