بھٹو آج تک لوگوں کے دلوں میں کیوں زندہ ہے ؟وجہ
یہ ایک تاریخی تصویر ہے ۔ایک بوڑھا شخص 18اکتوبر 2007ء کو محترمہ بے نظیر بھٹو شہید کے استقبال کے لیے کراچی ائیر پورٹ ننگے پائوں آ یا ۔اس نے وہاں موجود صحافیوں کو یہ تصویر دکھائی اور بتا یا کہ میں آج اس واقعے کو دہرانا چاہتا ہوں جب میں اس طرح شہید بھٹو سے ملنے ننگے پائوں گیا تھا کیونکہ میرے اس وقت پہننے کے لیے جوتے نہیں تھے ۔شہید بھٹو نے جب میری یہ حالت دیکھی تو انہوں نے مجھے اپنے گلے سے لگایا ۔میں نے ان کی آنکھوں میں بغور دیکھا تو وہ بھیگ چکی تھیں ۔انہوں نے مجھے کافی پیسے بھی اور جب میں واپس جائے لگا توشہید بھٹو اپنے جوتے اتار کے خود بھی ننگے پائوں میرے ساتھ کا فی دور تک چلے !
Islam is a religion of peace and harmony. The Islamic teachings are guarantee of peaceful co-existence. A society which practices Islamic teachings of peaceful co-existence, brotherhood and cooperation makes advancement. Disharmony and non-tolerance causes societal decline. The article focuses the importance of peaceful co-existence in light of the Islamic teachings. Besides discussing the principles of societal peace mentioned in the holy Qur’an and Hadith, it has been elaborated that how these principles can be applied to achieve and maintain societal peace and order in contemporary times. The articles ends with some guiding principles and details as suggested in the Qur’an and Sunnah. A Muslim society can prosper only by adopting these principles in letter and spirit and resultantly their differences will be a thing of past. These guiding principles are as under: § Justice and Equality. § Guarantee to rights of all segments of society. § Abiding the rulers in lawful. § Promulgation of Islamic Sharia and observing its objectives. § Adopting moderate and balanced approach in religious matters. § Discharging the duty of preaching in light of Qur’an &Sunnah. § Cooperation in righteous &lawful and avoiding conflict. § Performing citizenry duties in light of Islamic Teachings. § Participating in reformative activities of society.
Sentiment Analysis is currently one of the most studied research fields. Its aim is to analyze people‟s sentiments, opinions, attitudes etc., towards different elements such as topics, products, individuals, organizations, and services. Sentiment analysis can be achieved by machine learning or lexical based methodologies or a combination of both. Recent research shows that domain specific lexicons perform better as compared to domain independent lexicons. In an effort to improve the performance of domain independent lexicons, this research incorporates machine learning with a lexical based approach, introducing a new approach called SWIMS, to determine the feature weight based on a well-known general-purpose sentiment lexicon, SentiWordNet. Support vector machine is used to learn the feature weights and an intelligent model selection approach is employed in SWIMS in order to enhance the classification performance. The features are selected based on their subjectivity and the effects of feature selection with respect to their part of speech information are studied extensively. Seven benchmark datasets have been used in this research, including large movie review dataset, multi-domain sentiment dataset and Cornell movie review dataset, all of which are freely available online for research purposes. In-depth performance comparison is conducted with the state of the art machine learning approaches, lexical based methodologies, and other tools used for sentiment detection. The proposed SWIMS approach attained accuracy, precision, recall and f-measure values of 83.06%, 83.30%, 82.83% and 83.03% respectively, averaged over the seven datasets. The evaluation of performance measures proves that the proposed approach outperforms other techniques for sentiment analysis.