Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Supremasi Hukum: Jurnal Kajian Ilmu Hukum
Shahzad, Amir
Unknown Affiliation
Humanities Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Aspect-Based Sentiment Analysis on Amazon Product Reviews Abubakar, Muhammad; Shahzad, Amir; Abbasi, Husna
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 2 No. 2 (2021): International Journal of Informatics, Information System and Computer Engineeri
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v2i2.7455

Abstract

The focus of this paper was on Amazon product reviews. The goal of this is to study is two (NLP) for evaluating Amazon product review sentiment analysis. Customers can learn about a product's quality by reading reviews. Several product review characteristics, such as quality, time of evaluation, material in terms of product lifespan and excellent client feedback from the past, will have an impact on product rankings. Manual interventions are required to analyse these reviews, which are not only time consuming but also prone to errors. As a result, automatic models and procedures are required to effectively manage product reviews. (NLP) is the most practical method for training a neural network in this era of artificial intelligence. First, the Naive Bayes classifier was used to analyse the sentiment of consumer in this study. The (SVM) has categorizeduser sentiments into binary categories. The goal of the approach is to forecast some of the most important characteristics of an amazon-based product reviews, and then analyse Customer attitudes about these aspects. The suggested model is validated using a large-scale real-world dataset gathered specifically for this purpose. The dataset is made up of thousands of manually annotated product reviews gathered from amazon. After passing the input via the network model, (TF) and (IDF) pre-processing methods were used to evaluate the feature. The outcomes precision, recall and F1 score are very promising
Striking a Balance: Navigating Exemptions in Extradition for Terrorism and Political Offenses under International Law Adnan, Sheikh Muhammad; Raza, Mohsin; Shahzad, Amir; Shahzad, Salman; Jameel, Raheel
Supremasi Hukum: Jurnal Kajian Ilmu Hukum Vol. 12 No. 2 (2023): Supremasi Hukum
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/sh.v12i2.3157

Abstract

This legal study critically analyzes the complexities of navigating exceptions to extradition, particularly concerning Terrorism and political offenses. It also distinguishes between comprehensive and sectoral conventions as well as universal and regional treaties, explaining the various approaches and their implications. It is a complex landscape of legal responses to international Terrorism. The efficacy of global conventions in addressing this very important issue is questionable. Each country has criteria for ascertaining what constitutes Terrorism and political offenses that can affect extradition. There is very little difference in the character of Terrorism and political offenses. Given the increasing global anxiety surrounding Terrorism and political offenses, this provides a significant perspective on the ongoing discourse on extradition in international law. This study uses a comprehensive qualitative methodology. It carefully examines legal texts, case law, and scholarly literature alongside a comparative analysis of extradition treaties and state practice. It used theories of democracy and Terrorism itself (which, in a global sense, must be fought) to distinguish and strike a balance between Terrorism and political offenses. Ultimately, this study has identified effective solutions to combat international Terrorism while addressing the differences between conventions. It also found a growing relationship between democratization and the global fight against Terrorism, with arguments for not categorizing acts of Terrorism as political offenses, especially in democracies. In addition, this study enhanced the understanding of the legal framework for countering international Terrorism and provided insight into the challenges and opportunities presented by various conventions. These findings have significant implications for refining extradition law, encouraging a balance that respects human rights, guarantees justice, prevents the abuse of the extradition process for political purposes, and contributes to the evolution of a fair and just international legal framework.
Co-Authors Abbasi, Husna Abubakar, Muhammad Adnan, Sheikh Muhammad Jameel, Raheel Raza, Mohsin Shahzad, Salman