Review on Query-focused Multi-document Summarization (QMDS) with Comparative Analysis

P Roy, S Kundu - ACM Computing Surveys, 2023 - dl.acm.org
The problem of query-focused multi-document summarization (QMDS) is to generate a
summary from multiple source documents on identical/similar topics based on the query …

Application of bagging and particle swarm optimisation techniques to predict technology sector stock prices in the era of the COVID-19 pandemic using the support …

H Sulastri, SM Intani, R Rianto - International Journal of …, 2023 - inderscienceonline.com
The increase in positive cases of COVID-19 not only affects the health and lifestyle, but also
the economy and the stock market. Tech and digital sector stocks can be predicted to be one …

Feature-based POS tagging and sentence relevance for news multi-document summarization in Bahasa Indonesia

MZ Abdullah, C Fatichah - Bulletin of Electrical Engineering and Informatics, 2022 - beei.org
Sentence extraction in news document summarization determines representative sentences
primarily by employing the news feature known as news feature score (NeFS). NeFS can …

[PDF][PDF] Prediksi awal waktu shalat berdasarkan titik belok kecerahan langit menggunakan metode Support Vector Regression dan Restricted Cubic Spline

N Ardhiyah - UIN Sunan Ampel Surabaya, 2019 - core.ac.uk
Penelitian mengenai kecerahan langit merupakan salah satu faktor yang penting untuk
observasi astronomi, karena setiap perubahan waktu ditandai dengan perubahan kondisi …

Extractive multi document summarization using harmony search algorithm

ZH Ali, AK Hussein, HK Abass… - … Electronics and Control), 2021 - telkomnika.uad.ac.id
The exponential growth of information on the internet makes it troublesome for users to get
valuable information. Text summarization is the process to overcome such a problem. An …