Search from the Journals, Articles, and Headings
Advanced Search (Beta)
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...

12 حق دی گل

حق دی گل

 

                ’’ہائے ہائے‘‘ تے ’’اوئی اوئی‘‘ دیاں کوکاں سن کے، متھے تے چٹی پٹی بنھی ویکھ کے، سجا ہویا منہ سامنے والے دو دند ٹتے ہوئے تے لت اتے پلتر بنھیا ہویا ویکھ کے تسیں میرے کولوں ایہہ ضرور پچھو گے جے مینوں ہویا کیہ اے۔ کل تک تے چنگا بھلا ساں۔

                میرے بھراؤ! ہویا کجھ وی نئیں تہاڈیاں ساریاں گلاں دا جواب ایہہ وے پئی ہویا صرف اینا جے پچھلے کچھ دناں توں ساڈے اتے ایہہ گل ظاہر ہوئی۔ پئی ساڈے وچ اک اچا تے سچا لیڈر بنن دیاں ساریاں خوبیاں موجود نیں ایہناں وچوں ساریاں توں چنگی خوبی ساڈے اپنے خیال وچ ایہہ سی بھئی ساڈے وچ حق دی گل کہن دی صلاحیت اﷲ میاں نے لوڑ توں ودھ بھردتی اے۔ اسیں اپنی ایس خوبی نوں بڑا ای گھٹ ورتیا سی۔ اسیں ایہہ فیصلہ کیتا جے اگوں توں جدوں ویلا لبھیا اپنی ایس خوبی نوں جی داراں وانگوں ورتاں گے۔

                ساریاں توں پہلاں تے سانوں اپنی ایہہ خو بی جگ نوں وکھاون د اموقعہ اک سینما وچ ملیا۔ فلم نویں سی تے بھیڑ بہتی سی۔ اسیں ٹکٹ لے کے اک پاسے کھلو گئے کیوں جے ہالی پہلا...

جنگی جرائم اسلام اور بین الاقوامی قانون کے تناظر میں

In ancient and modern era wars, such war crimes are committed which are against humanity and peace. The war crimes committed were only for power pelf  and pomp. The  continuation of those war crimes is still present in modern time wars. Islam has introduced a very civilized, meaningful and judicious  way for war fare  against enemy and also eradicated all kind of  war crimes.

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.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.