مخطوطات السيرة النبوية في الجامعات الباكستانية فى القرن العشرين

Allah Almighty has kept many sources to save his eternal message, of writings the in biography holy his and صلى الله عليه وسلم prophet his of words golden the different scholars. This shows the importance of our sacred heritage that includes the biography of the Holy Prophet ﷺ. These hand-written books (manuscripts) consist of the exegesis of Qur’ān, Jurisprudence, Principles of Exegesis of Qur’ān and Jurisprudence, morphology, syntactic and many other sciences related to Arabic language and literature. The researcher has صلى الله عليه وسلم Prophet Holy the of biography the about manuscripts the evaluated written in different universities of Pakistan during MA, MPhil, and PhD in the 20th century. The research methodology followed in the research is descriptive. Each understudy manuscript is considered from different aspects that include different features of the work done, i. E. Language of the manuscripts, details of the original text, references of Aḥādīth, pattern of footnotes, primary and secondary sources etc. The article is divided into three main sections in the following way: First deals with Islamic Arabic Manuscripts, Second are Manuscripts in Pakistani Libraries and third are would research The. صلى الله عليه وسلم Prophet the of Sirah about Manuscripts evaluated highlight value of the Manuscripts and the critical analysis of the mistakes found in Manuscripts and it would certainly improve their language, and research pattern.

Opinion Mining for Opinion Oriented Information Seeking System

Advancement in technology makes this world a global village. People are connected with one another through social networks or they engage in online hiring or purchasing of products. This makes a drastic change in our industrial working patterns. Today?s market change from service oriented to customer oriented. For this purpose individual first have to look at reviews or user?s opinion about a product, customer?s feedback helps them in hiring or purchasing. Sentiment analysis or opinion mining plays a significant role in decision making process, as this analysis is being used to analyze user?s feeling, attitude and emotional attraction towards a product, social networks or it could be any article or blog. People?s attitude/reviews towards a product could be categorized as negative, positive or neutral. In this research work will mine these customer?s attitudes/opinions/reviews by using machine learning mechanism which helps to enhance the decision making process in order to categorize individual?s attitude in future.