Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Improvement of Cluster Importance Algorithm with Sentence Position for News Summarization Nur Hayatin; Gita Indah Marthasari; Syadza Anggraini
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (704.002 KB) | DOI: 10.11591/eecsi.v5.1624

Abstract

Text summarization is one of the ways to reduce large document dimension to obtain important information from the document. News is one of information which usually has several sub-topics from a topic. In order to get the main information from a topic as fast as possible, multi-document summarization is the solution, but sometimes it can create redundancy. In this study, we used cluster importance algorithm by considering sentence position to overcome the redundancy. Stages of cluster importance algorithm are sentence clustering, cluster ordering, and selection of sentence representative which will be explained in the subsections below. The contribution of this research was to add the position of sentence in the selection phase of representative sentence. For evaluation, we used 30 topics of Indonesian news tested by using ROUGE-1, there were 2 news topics that had different ROUGE-1 score between using cluster importance algorithm by considering sentence position and using cluster importance. However, those 2 news topics which used cluster importance by considering sentence position have a greater score of Rouge-1 than the one which only used cluster importance. The use of sentence position had an effect on the order of sentence on each topic, but there were only 2 news topics that affected the outcome of the summary.
Sarcasm Detection on Indonesian Twitter Feeds Dwi A. P. Rahayu; Soveatin Kuntur; Nur Hayatin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.127 KB) | DOI: 10.11591/eecsi.v5.1724

Abstract

In social media, some people use positive words to express negative opinion on a topic which is known as sarcasm. The existence of sarcasm becomes special because it is hard to be detected using simple sentiment analysis technique. Research on sarcasm detection in Indonesia is still very limited. Therefore, this research proposes a technique in detecting sarcasm in Indonesian Twitter feeds particularly on several critical issues such as politics, public figure and tourism. Our proposed technique uses two feature extraction methods namely interjection and punctuation. These methods are later used in two different weighting and classification algorithms. The empirical results demonstrate that combination of feature extraction methods, tf-idf, k-Nearest Neighbor yields the best performance in detecting sarcasm.
Co-Authors Abdul Hadiy Dyo Fatra Abidatul Izzah Abidatul Izzah Izzah, Abidatul Izzah Adhi Bagus Setiawan Ahmad Al Ghivani Ahmad Dhana Renomi Ahmad Hifdhul Abror, Ahmad Hifdhul Aini Alifatin Aini Nurul Amarul Akbar Andhini, Thathit Manon Anggraini, Syadza Anisatu Thoyyibah Asep Rohman Atsqalani, Hasbi Audi Bayu Yuliawan Ayu Puji Lestari Basuki, Setio Bayu Mavindo Bayu Yuliawan, Audi Chastine Fatichah Chita Nauly Harahap Christian Sri Kusuma Aditya Christian Sri Kusuma Aditya Christian Sri Kusuma Aditya Christian Sri kusuma Aditya, Christian Sri kusuma Dasa Ismaimuza Dede Nor Alfiansyah Deny Qutara Putra Diana Purwitasari Didih Rizki Chandranegara Dini Kurniawati Doni Yulianto Dwi A. P. Rahayu Dwi Arif Al-mubarok Dyah Hestiningtyas Dzur Rifqi Aziz Eko Budi Cahyono Elbert Setiadharma Evi D. Wahyuni Evi Dwi Wahyuni Fadil Ramadhan Farid Dadhee Fatahillah Arsyad Gama Wisnu Fajarianto Giffari Zakawaly Gita Indah Marthasari Hakim, Muhammad Nafi Maula Hariyady, H. Hasbi Atsqalani Ika Rizki Anggraini Kharisma Muzaki Ghufron Kris Setyaningsih, Kris Kuntur, Soveatin Lia Nuarini M Syawaluddin Putra Jaya Maskur Maskur Maskur Maskur Mavindo, Bayu Meilina Agustina Meilisa Musnaimah Mentari Mas'ama Safitri Muhammad Rojib Saiful Musnaimah, Meilisa Musriyadi Nabiu, Musriyadi MUSTAMIN IDRIS Mustika Mentari Nasution, Annio Indah Lestari Nirindra Primavera Dirga Nugraha Nuarini, Lia Nur Putri Hidayah Nuryasin, Ilyas Prayogi Restia Saputra Putra, Deny Qutara Rahayu, Dwi A. P. Rellanti Diana Kristy Rellanti Diana Kristy Retno Firdiyanti Rima Mediana Mashita Rizal Rakhman Mustafa Rizky Ade Mahendra Rizky Heriawan Prayogo Tanjung Ruhaila Maskat S, Vinna Rahmayanti Saiful Arif, Mukhammad Rojib Sandy Young Sari Wahyunita Sari, Tiara Intana Shofiyah Soveatin Kuntur Syadza Anggraini Syukri Adisakti Dainamang Tati Susilawati, Tati Taufik Nurahman Thathit Manon Andini Tiara Intana Sari Tri Fidriyan Arya Tsabitah Ayu Rahmawati Tutik Sulistyowati Veithzal Rivai Zainal Wahyuni, Evi D. Wicaksono, Galih Wasis Wildan Suharso Yogo Suwiknyo Yuda Munarko Yufis Azhar Yuniarti, Maulidya Zalfa Natania Ardilla