مولانا ضیاء الدین احمد بدایونی
افسوس ہے کہ گذشتہ جولائی میں ایک ممتاز علمی شخصیت مولانا ضیاء احمد بدایونی سابق صدر شعبہ فارسی مسلم یونیورسٹی نے وفات پائی ، مرحوم فارسی زبان کے فاضل اور مسلم الثبوت استاد تھے، انہوں نے فارسی کی درسیات پرانے طرز پر پڑھی تھیں اور عربی سے بھی واقف تھے، اس لیے فارسی زبان و ادب پر ان کی نظر ماہرانہ تھی، ان کا ذوق بڑا متنوع تھا، مذہبیات اور تاریخ اسلام سے بھی ان کو دلچسپی تھی، اور ان سب پر ان کے مضامین اور تصانیف موجود ہیں، ان میں سب سے اہم دیوان مومن کی شرح اور اس کا فاضلانہ مقدمہ ہے اور یہ کہنا صحیح ہوگا کہ جس طرح سب سے پہلے ڈاکٹر عبدالرحمن بجنوری نے کلامِ غالب کی اہمیت نمایاں کی تھی، اسی طرح مولانا ضیاء احمد نے مومنؔ کے کلام کی اہمیت واضح کی، وہ عملاًنہ صرف دیندار بلکہ خوش عقیدہ مسلمان تھے، جس کا اثر ان کی تمام مذہبی تحریروں میں ہے، اس زمانہ میں جب کہ فارسی کا ذوق گھٹتا جا رہا ہے مرحوم کی جگہ مشکل سے پُر ہوسکے گی، اﷲ تعالیٰ ان کی مغفرت فرمائے۔ (شاہ معین الدین ندوی، ستمبر ۱۹۷۳ء)
This article is about the role and duties of guardian to manage the education of the children and to build up their behavior. So that they may lead the educated, civilized and well managed life and play their role in the development of an Islamic society. The duty of the guardians regarding the education of the child has been divided into four categories, which are education of aticates, religion, reading and writing and general and technical education. The guardians are bound to manage the commercial, industrial and technical education for their male wards and to educate their female wards cooking, tailoring and knitting. Scholastic views of different schools of thought along with their arguments have been discussed in this article.
Stock market prediction has been an area of interest for a few decades now and much recently, there has been a lot of new research in the field of neural networks and natural language processing (NLP), that has resulted in satisfactory results. Sentiment analysis is one such sub-field of NLP that has made possible the extraction of emotions expressed in a body of text. These sentiments have been shown to co-relate with the change in stock prices. Previously twitter has been used to show a positive co-relation between the positive and negative sentiments gathered from a collection of tweets, and directional stock movements. In this paper, I expand upon these findings as I develop multiple predictive models that incorporates these technologies to predict not only the directional changes in the stock market but also the stock prices. For this purpose I use New York Times article headlines for the top 5 IT corporations listed on the S&P 500 index (Google, Microsoft, Amazon, Facebook and Apple), and use word2vec for encoding these headlines into vectors. These vectors are fed into LSTM NN, along with momentum-based economic indicators to supplement the predictive model. This has resulted in a MAPE (Mean Absolute Percentage Error) score of 1.15% for the regression based model and 65% direction accuracy, hence, indicating a positive co-relation between stock prices and public sentiment