مکی دور نبوی ﷺ کے فنون ِ لطیفہ کے معاشرتی مظاہر کا تجزیاتی مطالعہ

Fine Arts, shows the aesthetic side of any society and it is very important part of any culture, as its presence expresses the cultural diversity and richness and connects different segments of society. This article throws a light on the fine arts of Makkah society before the Prophet Hood. It is very common among historians and orientalists to accuse the society of Makkah void of any cultural expression apart from its love for poetry, which is not true. The matter of the fact is that this society was fully developed aesthetically despite its nomadic and barren desert life. The cultural expressions of storytelling, poetry, architecture, painting, sculpture making were true and pure to this part of world without any influence from outside world. The tradition of storytelling was an essential element of Makkah cultural life and it was common among the elite of Makkah to have night sittings, where along with drinking, music they used to narrate anecdotes of past.  Although the architecture of Makkah people was simple, it was self-sufficient to the needs of the environment. This research paper is an attempt to look into the various forms of Fine Arts of Makkah and how these expressions were deeply embedded in the society.

Opinion Mining Using Fuzzy Classifier for Cell Phone Brands Review of Twitter Data

Product reviews have now become a key to business intelligence. All the products available online now provide a customer review and rating of their products for quick decisions and comparisons. Apps, software, products and even websites are reviewed by the customer for their rating among a variety of other products. Different blogs and websites like ?WhatMobile?, and ?gsmarena? use formal ways to review like survey forms and star rating. Social media is being used for sharing personal experiences with different products and these public reviews also play an important part in the business performance. Sentiment Analysis is a way of recognizing and classifying opinions spoken in a piece of text, particularly in order to check the user''s behavior about some matter, item or issue. This study is based on the extraction of reviews tweeted by the twitter users about their mobiles. This study highlighted the way of expressing their views in a good way by analyzing their comment and mining the opinion. E-trade and social media have changed the level of online customers and it is a regular practice for them to look at the rating of items before making a buy. For this study, Twitter Social media data set is used for getting user opinion from this free social media site as Twitter is a social media microblogging platform of users for sharing views through text containing emoticons and hashtags. This study recommends fuzzy classification of opinion mining system that is mostly binary but this work showed multilevel sentiment analysis of user tweets. Sentiment analysis was a stepwise process that included preprocessing, Part of Speech (POS) tagging, separating these parts as per our requirement, and finally showing the polarity of that sentence by using fuzzy logic approach. The proposed strategy broadens the feature-based arrangement approach and also specifies the strength of emotions related to the tweets by using modifiers, emoji, and concentrators. This research work used the Fuzzy classifier in a deeper sense by depicting the opinion in these 5 levels i.e. excellent, good, average, bad, and very bad. This 5 level fuzzy classification enhanced the vision of opinion more clear and accurate than bipolar opinion.