Search or add a thesis

Advanced Search (Beta)
Home > روایة الحدیث بین الامامیة واھل السنة والاباضیة، دراسة وتحقیق

روایة الحدیث بین الامامیة واھل السنة والاباضیة، دراسة وتحقیق

Thesis Info

Author

عبدالحمید خروب

Program

PhD

Institute

The Islamia University of Bahawalpur

City

بہاولپور

Language

Urdu

Keywords

شیعت

Added

2023-02-16 17:15:59

Modified

2023-02-16 17:33:40

ARI ID

1676730198996

Similar


Loading...
Loading...

Similar Books

Loading...

Similar Chapters

Loading...

Similar News

Loading...

Similar Articles

Loading...

Similar Article Headings

Loading...

Introduction

Introduction

The Divine Promise to the human species at the time of its exit from the heavens – Q.02:38- 39 – was held through ages of human history. It started with Adam, continued through Enoch, Noah, Abraham, Isaac, Moses, Jesus and culminated with Muhammad. May Allah’s peace and blessings be upon them.

The foundations of Faith are, prima facie, based on the Absolute Supremacy of One Divine Being. The teachings of all Scriptures came from the same Divine Source with the purpose of providing guidance for a life of righteousness within societies along a Straight and Optimal Path
– Qur’an 06:126, 07:16; and The Torah/Proverbs 4:23-27.

The Qur’an is the grand finale of all Divine Revelations and the Ultimate Truth. Allah, The Exalted and The Almighty, guaranteed to preserve its Sacred Arabic Text in its entirety and original form safe from any satanic change – Q.15:09.

Enriched with themes, history, law, images, symbols, language, recitation and a unique literary style – it is a master piece of a revelation that has been bestowed on humanity as a matchless text signifying the very name it carries – Al Kitab – The Book.

As The Qur’an was being revealed on to the last of the Prophets - Prophet Muhammad, in the Arabic language, he would dictate it to his appointed companions to serve as scribes over the 23- year period of its phased-revelation.

The Qur’an contains the narratives of past nations and the events of future generations to facilitate comprehension of the meaning and value of the Qur’anic Message. It also sets out examples and analogies for people so that they may reflect and take heed - Q.39:27. Its message transcends...

المحاسبة الإدارية فـي القـرآن الكـريم مـن خلال قصة يوسـف عـليه السلام: دراسة تأصيلية مقارنة

تناولت الدراسة قضية المحاسبة الإدارية فـي القـرآن الكـريم مـن خلال قصة سيدنا يوسـف عـليه السلام، وأثرها عـلى عـلم المحاسبة الإدارية بصورة خاصة وعـلوم الإدارة بصورة عامة، وتهدف الدراسة إلى بيان أقوال المفسرين والفقهاء قديمـا وحديثا مـع ذكر أقوال عـلمـاء متخصصي المحاسبة الإدارية وربطها بقصة يوسـف عـليه السلام فـي صورة عـلمية توضح أبعاد مقاصد القـرآن الكـريم الذي يجمـع جميع العـلوم المختلفة. واستخدم الباحث المـنهج الإستقرائي المقارن، وتوصلت الدراسة إلى مجموعة مـن النتائج أهـمها: أظهر يوسـف قدرته فـي إدارة أزمة سنين القحط التي أصابت مصر ومـا حـولها بصورة مثالية فريدة مـن نوعها فـي ذلك الوقت، حتى جعـل أهل مصر مـا رأينا ملك أفضل مـنه. ومـن أهـم التوصيات: يوصي الباحث طلاب العـلوم الإدارية ومديري الإدارات فـي مسيرتهـم المهنية أن يكون قدوتهـم فـي ذلك سيدنا يوسـف عـليه السلام.

Comparative Analysis of Sentiment Analysis Techniques for Social Media

Nowadays the excessive use of internet produces a huge amount of data due to the social networks such as Twitter, Facebook, Orkut and Tumbler. These are microblogging sites and are used to share the people opinions and suggestions on daily basis relevant to the certain topic. These are beneficial for decision making or extracting conclusions. Analysis of these feeds aims to assess the thinking and comments of people about some personality or topic. Sentiment analysis is a type of text classification and is performed by various techniques such as Machine Learning Techniques and shows that the text is negative, positive or neutral. In this work, we provide a comparison of most recent sentiment analysis techniques such as Na?ve Bayes, Bagging, Random Forest, Decision Tree, Support Vector Machine and Maximum entropy. The purpose of the study is to provide an empirical analysis of existing classification techniques for social media for analyzing the good performance and better information retrieval. A comprehensive comparative framework is designed to compare these techniques. Various benchmark datasets (UCI, KAGGLE) available in different repositories are used for comparison purpose. We presented an empirical analysis of six classifiers. The analysis results that Random Forest performs much better as compared to other. Efforts are made to provide a conclusion about different algorithms based on numerical and graphical metrics to conclude that which algorithm is optimal.