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Socio-Economic Factors Changing the Lives of Gold Washers in Hunza

Thesis Info

Author

Habiba Khan

Supervisor

Anwaar Mohyuddin

Department

Department of Anthropology, QAU

Program

MSc

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2016

Thesis Completion Status

Completed

Page

v, 87

Subject

Anthropology

Language

English

Other

Call No: DISS / M.SC / ANT / 1700

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676716109791

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34. Saba/Sheba

34. Saba/Sheba

I/We begin by the Blessed Name of Allah

The Immensely Merciful to all, The Infinitely Compassionate to everyone.

34:01
a. The Praise and Gratitude is for Allah – the One and Only God of everyone and everything,
b. The One to WHOM belongs whatever is within the celestial realm and whatever is within the terrestrial world, and
c. the Praise be to HIM in the realm of the Hereafter.
d. And HE is All-Wise, All-Aware.

34:02
a. HE Knows whatever goes into the earth and whatever comes out of it, and
b. whatever comes down from the heaven, and whatever goes up into it.
c. HE is The Compassionate, The Forgiving.

34:03
a. And yet those who disbelieve say:
b. ‘The Last Hour will never come upon us.’
c. Say:
d. ‘Yes, indeed, it will!
e. By my Rabb - The Lord - The Knower of all that is beyond the reach of our senses and
perception,
f. it will certainly come upon you.
g. There is nothing even the weight of a speck in the celestial realm and the terrestrial world that escapes HIS Knowledge.
h. As also there is nothing even smaller than that or bigger but it is in a Clear Book.’

34:04
a. Thus HE keeps track of everything so that HE may reward those who believe and practice righteousness.
b. It is they for whom will be forgiveness and a generous provision in the Paradise.

34:05
a. As for those who challenge and strive against OUR Messages in the Qur’an,
b. seeking to undermine them and thwart their purpose,
c. those - for them will be a painful punishment...

دور جدید میں میڈیا کی ضرورت و اہمیت اور حقیقت احوال

This article highlights the role of media in the contemporary world. Man since his birth had bestowed with quest to enfold the encompassing surroundings. In addition, due to his very nature, it is almost impossible for him to keep himself indifferent from environment. With the process of time, his primitive means of communication enhanced to the level that is playing a vital role in the current globalized social set up. Consequently, string of communication has been expended and manifested in print, electronic and social media. Media can play a very constructive, positive and meaningful role in accordance with the parameters laid down in Islam. But at the same time, it has a negative edge that can put human social set up in chaos and destruction. Current situation is that media specially western media is plaing a very undesirable role that is not only detrimental for the world as a whole, but specifically for the Muslim World. Greater responsibility lies on the shoulders of media to play his positive and apostolic role. In the article, the writer highlights the incredible role of media for establishment of interfaith harmony and peace in human society. He stresses that man is in nuclear era, the situation is very tense and little mis-happening can destroy the whole world.

Optimization of Svm for Sentiment Analysis

The growth of user?s generated contents increased exponentially onthe microblogging platforms like Facebook, Twitter and Blogger in the form of comments and opinions. This bulk of helpful data is difficult to analyse and also a time consuming task. So,an intelligent text mining system that can automatically analyse and categorise such vast user generated data is needed. Due to the noisiness in data, it is difficult to design such a processing technique because of spelling mistakes, grammatical errorsand improper punctuation. Automatic opinion extraction is a useful technique to monitor consumers'' feedback regarding any particular productsin terms of positive or negative.The management of customer relations can use these feedbacks to improve the products and services and ultimately can make the clients happy. Support Vector Machine (SVM) is one of the most famous and useful supervised machine learning technique used for sentiment classification and opinion extraction. Many extensions and modifications of this algorithm are available today. The purpose of this research is to improve the SVM accuracy through grid search technique for sentiment classificationof textual data.