جناب مولانا انظر شاہ کشمیریؒ
افسوس کہ مولانا انظر شاہ کشمیری قریب بیاسی سال کی عمر میں ۲۶؍ اپریل ۲۰۰۸ء کو اس دنیائے فانی سے رخصت ہوگئے، اناﷲ وانا الیہ راجعون، دارالمصنفین میں یہ خبر افسوس کے ساتھ سنی گئی اور یہ احساس عام رہا کہ ملت علوم اسلامیہ کے ایک نامور ترجمان اور دارالعلوم دیوبند کی عظمت کے نشان اور سلف صالحین کی روایتوں کے پاسبان سے محروم ہوگئی۔
وہ دین و دانش کی دنیا کے مہر انور، مولانا سید انور شاہ کشمیریؒ کے فرزند اصغر تھے، مولانا سید سلیمان ندوی نے شاہ کشمیریؒ کی وفات پر لکھا تھا کہ ’’چین سے لے کر روم تک ان کے فیضان کا سیلاب موجیں لیتا رہا‘‘ شاہ کشمیریؒ کے اوصاف میں کہا گیا کہ وہ معلومات کے دریا، حافظہ کے بادشاہ اور وسعت علمی کی نادر مثال تھے، الولد سرلابیہ اگر حق ہے تو مولانا انظر شاہ کشمیری کے بارے میں بھی ان ہی خوبیوں کا اعادہ کیا جاسکتا ہے، انہوں نے مولانا شبیر احمد عثمانی، مولانا حسین احمد مدنی، مولانا اعزاز علی اور مولانا ابراہیم بلیاوی جیسے ارباب علم و فضل سے اکتساب فیض کیا، خانہ انور اور دارالعلوم دیوبند کے خمیر سے جس شخصیت کی تشکیل کی توقع کی جاسکتی ہے وہ ان کی شکل میں پوری ہوئی، قریب نصف صدی تک حدیث شریف کے درس و تدریس کی مبارک خدمت ان کے نصیب میں آئی اور بڑی بات یہ ہے کہ قلم سے بھی ان کا رشتہ استوار رہا، ان کی کتابوں میں ’’فیض البخاری‘‘ اور ’’تراجم الابواب‘‘ کے نام ملتے ہیں، اس کے علاوہ ان کی قلمی میراث میں ’’تفسیر ابن کثیر، مدارک، جلالین‘‘ وغیرہ کے ترجمے بھی ہیں، ان کے ذہن و فکر اور مطالعہ کی وسعت اور تنوع کا اندازہ اسی سے کیا جاسکتا ہے کہ درس و تدریس، تصنیف و...
Youth Empowerment has always been an icon of progressive process where young people are encouraged to peep into their future. It is not limited to develop individuals rather to formulate a great community change which rely on the development of individual capacity. Having dazzling achievements on its dimensions, the evolution of Islam flourished due to the youth’s inspiring role for the cognitive development in every sphere of life. The Holy Prophet (ﷺ) explored his young companions’ access to their resources, then transformed their consciousness, intellect and ensured their empowerment to promote traditional, moral and theological values. Its aim has always been to improve one’s quality of life in social, economic, socio-political and even war fares as well. Enhance to companions young his empowered (صلى الله عليه وسلم) Prophet Holy The their belief in self-efficacy in various territories. They battled against their contemporary challenges to meet positive sense of self-control, decision making skills, moral system of beliefs and pro-social connectedness. All these have numerous instances for their substantiations. The present research paper will substantiate the young companions’ pivotal efforts in the early age of Madīnah city to promote Islamic norms, their key role in battles, compilation of Qur’ān and Ḥadīth and various other significant defensive roles performed by the youth of that era after given powers by that highlight also will paper research present The. (صلى الله عليه وسلم) Prophet Holy the how the youth of today can empower itself to utilize their perceptive. (صلى الله عليه وسلم) Prophet Holy of companions young by archives set the from app
Sentiment analysis is basically opinion mining or emotion analysis. Many people express their views and sentiments through verbal, non-verbal and written forms to show their opinions and emotions on products, personalities, tourist places, educational institutions, hospitals, historical places, government, restaurants etc. A number of organizations are planning and concentrating on views and opinions of people to get some useful information. The social media, public and private sector organizations websites, web pages, blogs and online surveys are the important sources for getting opinions and reviews of people, thus, word wide web is best source of generating such types of data. Sentiment analysis, review analysis, emotion detection and opinion mining are procedures of analysing the unstructured or structured data for the purpose of evaluation of sentiments and opinions. Sentiments show the scale or level of confidence for positive opinion, negative opinion or neutral opinion or sentiments. Today, sentiments and opinions or reviews evaluation are one of the significant attentions of Natural Languages Processing generally called NLP. Majority of computational linguistics and sentiment analysis etc. software applications are existing for English and some other languages, nonetheless, numerous languages are there which cannot meet the level and category of these types of languages. Though, research studies and tools development processes are in growth for the languages, which are not resourced languages yet. The Sindhi language is an Asian language, which may be called the morphologically rich language, nevertheless, it faces several complexities since evaluating and analysing the online or offline text. Though, lots of data are available online or offline in different forms but yet no appropriate research study or work has discovered in the field of NLP as well as on sentiment analysis for Sindhi language text particularly. The deficiency of development work and research studies as well as technical resources for Sindhi language make the current research work or study interesting and challenging. Viewing and assessing this challenge, we have taken this task to work more to address the problems of Sindhi language data. Therefore, we have focused the construction of text corpus, data set, sentiment analysis system, word tokenization, part of speech tagging as well as subjective lexicon assessment for Sindhi language text. Supporting tools such as Sindhi POS tagger helps in identifying sentiments from Sindhi text corpus. This study has developed the NLP resources including sentiment analysis resources for Sindhi language text. Separate text corpus and linguistic data sets are developed and analysed by machine learning and deep learning models. Machine learning models are trained with small sentiment-based Sindhi training data and large sentiment-based Sindhi training data. The results confirm the proper performance and execution of supervised machine learning models in form of extraction of appropriate sentiments. The sentiment analysis for Sindhi text is done on document-level sentiment analysis, product level and aspect level sentiment analysis. The leaning model is designed and developed for the purpose of sentiment evaluation and analysis for Sindhi language text. Neural network based LSTM model is used with multiple layers to evaluate and validate the sentiment based Sindhi language text and products feature based data set. Results of models confirm the significance of methodology by showing good sentiment analysis and opinion analysis on Sindhi language text. Research study contributes the Sindhi language plain text corpus, linguistics dataset, aspect-based sentiment analysis dataset to the fields of natural languages processing as well as computational linguistics. Sentiment analysis system, which is developed for the Sindhi text is significant and state-ofthe art work. The work places the Sindhi language for international research to explore the grammatical and morphological complexities, perform the information retrieving, language modelling, semantic and sentiment analysis, universal dependencies and unsupervised modelling for text analysis etc.