EKSTRAKSI TRENDING ISSUE DENGAN PENDEKATAN DISTRIBUSI KATA PADA PEMBOBOTAN TERM UNTUK PERINGKASAN MULTI-DOKUMEN BERITA

Authors

  • Christian Sri Kusuma Aditya Teknik Informatika, Institut Teknologi Sepuluh Nopember
  • Chastine Fatichah Teknik Informatika, Institut Teknologi Sepuluh Nopember
  • Diana Purwitasari Teknik Informatika, Institut Teknologi Sepuluh Nopember
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DOI:

https://doi.org/10.12962/j24068535.v14i2.a570

Abstract

Penggunaan trending issue dari media sosial Twitter sebagai kalimat penting efektif dalam proses peringkasan dokumen dikarenakan trending issue memiliki kedekatan kata kunci terhadap sebuah kejadian berita yang sedang berlangsung. Pembobotan term dengan TFIDF yang hanya berbasis pada dokumen itu tidak cukup untuk menentukan in-deks dari suatu dokumen. Penentuan indeks yang akurat juga bergantung pada nilai informatif suatu term terhadap kelas atau cluster. Term yang sering muncul di banyak kelas atau cluster seharusnya tidak menjadi term yang penting meskipun nilai TFIDF-nya tinggi. Penelitian ini bertujuan untuk melakukan peringkasan multi dokumen berita menggunakan ekstraksi trending issue dengan pendekatan term distribution on centroid based (TDCB) pada pembobotan fitur dan mengintegrasikannya dengan query expansion sebagai kata kunci dalam peringkasan dokumen. Metode TDCB dilakukan dengan mempertimbangkan adanya kemunculan sub topic dari cluster hasil pengelompokan tweets yang dapat dijadikan nilai informatif tambahan dalam penentuan pembobotan kalimat penting penyusunan ringkasan. Tahapan yang dilakukan untuk menghasilkan ringkasan multi dokumen berita antara lain ekstraksi trending issue, query expansion, auto labelling, seleksi berita, ekstraksi fitur berita, pembobotan kalimat penting dan penyusunan ringkasan. Hasil percobaan menunjukan metode peringkasan dokumen dengan menambahkan nilai informatif sub topic trending issue NeFTIS-TDCB menunjukan nilai rata-rata max-ROUGE-1 terbesar 0.8615 untuk n=30 dari seluruh varian topik berita.

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References

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Published

2016-07-01

Issue

Vol 14, No. 2, Juli 2016

Section

Articles

How to Cite

[1]
C. S. K. Aditya, C. Fatichah, and D. Purwitasari, “EKSTRAKSI TRENDING ISSUE DENGAN PENDEKATAN DISTRIBUSI KATA PADA PEMBOBOTAN TERM UNTUK PERINGKASAN MULTI-DOKUMEN BERITA”, JUTI, vol. 14, no. 2, pp. 180–189, Jul. 2016, doi: 10.12962/j24068535.v14i2.a570.

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