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اصطلاحات سازی کے فروغ میں انجمن ترقیِ اردو پاکستان کا کردار

اصطلاحات سازی کے فروغ میں انجمن ترقیِ اردو پاکستان کا کردار

ڈاکٹر محفوظ احمد ثاقب

1857ء کی جنگِ آزادی نے جہاں برصغیر پاک وہند کی تاریخ میں ان مٹ اثرات مرتب کیے وہاں اردو زبان و اب پر بھی گہرے نقوش چھوڑے۔ 1857ء کی جنگِ آزادی کے سبب پیدا ہونے والی ابتری حالت، مایوسی اور ناامیدی کا ایک ہی حل تھا کہ ایک طرف تو انگریز سرکار سے مثبت تعلقات کشید کیے جائیں تو دوسری طرف جدید علوم و فنون پر مضبوط گرفت حاصل کی جائے۔ مذکورہ اغراض کے تحت  سرسید احمد خاں نے محمڈن ایجوکیشنل کانفرنس منعقدہ علی گڑھ کی بنیاد ڈالی۔  محمڈن ایجوکیشنل کانفرنس میں مذید توسیع کے لیے علی گڑھ میں 31 دسمبر 1902ء کو تیرھویں  سالانہ کانفرنس منعقد کی گئی ۔ یہ کانفرنس  مورخہ 31 دسمبر 1902 تا 4 جنوری 1903 جاری رہی۔اس کانفرنس میں متفقہ طور پر محمڈن ایجوکیشنل کانفرنس کے مذید تین شعبہ جات( سیکشن سوشل ریفارم، سیکشن امورِ متفرقات ، لٹریری سیکشن )کی منظوری دی گئی۔ ان تین نئے شعبہ جات میں سے لٹریری سیکشن کو  بعد میں انجمن ترقیِ اردو  ھند( دھلی) کے نام سے جانا جانے لگا۔ انجمن ترقی اردو کے قیام کے بارے میں مولانا شبلی نعمانی لکھتے ہیں کہ :

"انجمن 4 جنوری 1903 ء کو سالانہ محمڈن ایجوکیشنل کانفرنس میں قائم ہوئی " (1)

ابتداء میں تو یہ محض ایک علمی شعبہ تھا مگر تاریخ نے یہ ثابت کیا کہ یہ ایک متحرک مجلس تھی جس نے اردو زبان و ادب اور دیگر جدید  علوم میں کے فروغ میں اہم کردار ادا کیا۔ انجمن ترقی ِ اردو کو دھلی صدر مقام پر جنوری 1903 میں قائم کیا گیا ۔

            انجمن ترقیِ اردو بنا کسی مذہبی  یا علاقائی تعصب...

Tribute Dr Ghulam Mustafa Khan

Dr Ghulam Mustafa Khan [d. 2005] can truly be said to be a teacher of teachers [ustadh al-asatadha]. In his long and distinguished academic career spanning over six decades, he brought into existence literally hundreds of teachers in his subject Urdu and also created in many of them a taste for critical research that resulted in the existence of a whole corpus of standard critical material. This will endure in academic circles for a long time. It was his common habit to encourage his students, especially those of an academic bent of mind, to enrol for a Ph.D. In the course of which he would proffer them all kinds of assistance even if he were not their research supervisor. As such, the names of Dr Najmul Islam, who succeeded him as Chairman, Department of Urdu, University of Sindh, stands out. Dr Najmul Islam was the editor of a scholarly research journal, Tehqiq, which appeared in over 20 volumes in his own lifetime. Each issue contained scores of critical essays of a very high academic standard including his own [Dr N. Islam’s]. There is also the name of Dr Hasrat Kasganjvi, who emerged as a creative artist and critic of merit later on authoring dozens of books of high academic standard. The list is long and distinguished and contains the names of the major teachers of Urdu language and literature at the main Pakistani universities. Apart from Urdu teachers, the thousands of persons who had the benefit of attending his lectures and courses are also evidence of his intellectual wide-ranging scholarship. Then there is the select circle of his murids who formed his circle of spiritual knowledge and who had proffered their religious devotion at his hands. To these he gave the benefit of his spiritual counsel and advice as well as the vast knowledge he possessed of the Islamic sciences in his table-talk. Among these persons, the name of ex-President Ziaul Haq is most prominent.

Exploring the Determinants of Web Mining and Their Evaluations in Online Reviews

Online customer reviews have become electronic word of mouth for the current generations. The product reviews play an important role in customer‘s purchase decision making process. However, there are thousands of reviews constantly being posted for online products on e-commerce websites. It is very difficult for buyers to read all the reviews before purchase decisions. Review helpfulness is attracting increasing attention of practitioners and academics. It helps in reducing risks and uncertainty faced by users in online shopping. In this dissertation, three solutions are proposed to develop an effective model for review helpfulness prediction. i.e. 1) Influences of discrete emotions embedded in review text on review helpfulness are investigated, 2) Review helpfulness as a function of linguistic, psychological, summary language, and reviewer features is examined, and 3) Significant product, review and reviewer characteristics are explored to determine the review helpfulness. For discrete emotions, an algorithm is presented that extracts four positive and four negative discrete emotions from review text using National Research Council (NRC) emotion lexicon. An effective helpfulness prediction model is build using deep neural network. The findings reveal that Trust, Joy and Anticipation (positive emotions); Anxiety and Sadness (negative emotions) are most influential emotion dimensions and have greater impact on perceived helpfulness. Secondly, the utility of linguistic, psychological, summary language and reviewer characteristics are investigated and an effective review helpfulness prediction model is constructed using stochastic gradient boosting algorithm. The results reveal that reviewer helpfulness per day and syllables in review text strongly relates to review helpfulness. Moreover, the number of space, aux verb, drives words in review text and productivity score of a reviewer are also effective predictors of review helpfulness. Thirdly, influences of important variables by exploring not only the review content indicators but also significant indicators of reviewer and product that contribute to review helpfulness are explored. The influence of product type (search and experience goods) on review helpfulness is also examined and reviews of search goods show strong relationship to review helpfulness. The findings indicate that polarity of review title, sentiment and polarity of review text and cosine similarity between review text and product title effectively contribute to the helpfulness of online reviews.
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