Kausar, Firdous
PhD
National University of Sciences & Technology
Islamabad
Islamabad
Pakistan
2009
Completed
Applied Sciences
English
http://prr.hec.gov.pk/jspui/handle/123456789/1993
2021-02-17 19:49:13
2024-03-24 20:25:49
1676726566864
أمطري، لا ترحمي طیفي في عمقِ الظلام
أمطري، صبّي علیّ السیل، یا روح الغمام
لا تُبالي([2]) أن تعیدیني علی الأرض حطام
وأحیلیني([3]) ، إذا شئت، جلیداً أو رُخام
أترکي ریح المساء الممطر الداجي([4]) تجنّ
ودعي الأطیار، تحت المطر القاسي، تئنّ
أغرقي الأشجار بالماءِ ولا یحزنکِ غصن
زمجري([5])، دويّ([6])، فلن أشکو، لن یأتیک لحن
أمطري فوقي، کماشئت، علی وجھي الحزین
لا تبالي جسدي الراعش، في کفّ الدجون([7])
أمطري، سیلي علی وجھي، أو غشيّ عیوني
بلّلي ما شئت کفيّ وشعري وجبیني
أغرقي، في ظلمۃ اللیل، القبور البالیہ([8])
وألطمي، ما شئتِ أبواب القُصور العالیہ
أمطري، في الجبل الناءي([9])، وفوق الھاویۃ([10])
أطفءي النیران، لا تُبقي لحيّ باقیہ
آہ ما أرھبکِ الآن، وقد ساد السکون
غیر صوتِ الرّیح، في الأعماق([11]) تدوي في جنون
لم تزل تھمي([12])، من الأمطار، في الأرض، عیون
لم یَزٖل، قلبي حزیناً، تحت أمواج الدُجون
أیّھا الأمطارُ، قد ناداکِ قلبي البشريُّ
ذلک المفرق في الأشواق، ذاک الشاعريّ
إغسلیہ، أم تری الحزنُ حماہ([13]) الأبديّ
أبداً ، مثلک یا أمطارُ، دفاقٌ نقيُّ
أبداً یسمعُ، تحت اللیل، وقعَ القطرات
ساھماً یحلم بالماضي وألغاز الممات
یسأل الأمطار: ما أنتِ؟ وما سرّ الحیاۃ؟
وأنا، فیم وجودي؟ فیم دمعي وشکاتي([14])؟
ما أنا؟ ما أنتِ یا أمطار؟ ما ذاک الخضمُّ(ظہرین کے اوقات میں اشتراکات: اسلام کے پانچ بڑے فقہی مکاتب فکر کے تناظر میں
In India scholar‘s had played incredible role for ‘Hadith’. The service of Indian Muslim scholars about methodology of Hadith is much more than other countries scholars in the last 50 years of thirteenth century. Their name should be written in golden words. There services about the methodology of Hadith are great one. Muslim scholars of sub-continent had taken keen interest in the research work of Hadith and its explanation. If we evaluate the theological history of India that ; Shah Waiullah ‘and his family worked day and night for expansion and publishing of’ Hadith ‘ Thirteenth century of hire is called a century of revolution as concerned for Hadith. Because in that era proper theological institutions were set up and very strong institutions had spread knowledge and study of methodology of Hadith 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.