The expansion of the social media environment has created its own linguistic realities which involve more colloquial communication and practical employment of language. This research focuses on nominalizations in detail, which are originally formed words that have been changed for a noun role. These nominalizations are examined within the context of Facebook posts. The research aims to discover the various nominalizations used and how often they appear in a large sample of data from Public Facebook Posts Corpora. Computational linguistics opened new fields of study and enabled researchers to study large amounts of data easily, making it easier to identify patterns. Two computational methods of identifying nominalization in a large dataset were tested and evaluated from different aspects. Additionally, machine learning analysis tools were conducted to determine how nominalization affects the complexity and readability of the texts. Accordingly, Flesch-Kincaid Grade Level and Flesch Readability results were studied to identify nominalizations’ effect on the texts. The results present a high density of verbal nominalizations indicating that there is a preference to refer to actions or processes in an abbreviated manner. Instead, the study also explores the semantic and functional properties of nominalizations, discovering their employment for emotions and opinions, focusing on the ideas and informal nature of Facebook. Despite what the readability formulas imply about the relation between nominalization density and text difficulty, the research does not discount the fact that these metrics have their shortcomings, especially when comprehending direct user understanding is not taken under consideration. In conclusion, this study adds to the current literature on nominalizations by identifying their role in the social media discourse and importing important knowledge on the progressive changes in online linguistic usage
Concurrent Engineering approved that it is distinguished technology efficiency as it reflect its affection on international great companies . Its becomes vital field connected with its ability to develop the products directly, as well as, its concentration on all local and international competition which need to research and expanded
This study deals with (concurrent engineering) subject in
(Dyala State Company for Electrical Industry) , to bring the benefits of this technology to develop 
وفي ضوء متغيرات العصر الحديث أُملِيت علينا ثقافاتٌ وأفكار قد تؤثر في فهم أفراد الأسرة لواجباتهم، وذلك يؤثر بالسلب على وحدة بناء المجتمع، ومن ثم في مدى ترابط الأجيال وإدراكهم لطبيعة ثقافتهم الأصلية مما يوهن ويضعف الأسرة أصلا والمجتمع كنتيجة لذلك. تأتي مشكلة البحث في التساؤل الاتي هل للمرأة دور في تنشئة الأسرة؟ ولكي نجد جوابًا عن هذا السؤال يجب أن نبحث أولا عن واجب المرأة في الأسرة وتأثر ذلك ا
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Learning the vocabulary of a language has great impact on acquiring that language. Many scholars in the field of language learning emphasize the importance of vocabulary as part of the learner's communicative competence, considering it the heart of language. One of the best methods of learning vocabulary is to focus on those words of high frequency. The present article is a corpus based approach to the study of vocabulary whereby the research data are analyzed quantitatively using the software program "AntWordprofiler". This program analyses new input research data in terms of already stored reliable corpora. The aim of this article is to find out whether the vocabularies used in the English textbook for Intermediate Schools in Iraq are con
... Show Moreيتمثل الهدف الأساس للبحث بالتعرف على دور عناصر المزيج التسويقي (المنتج، السعر، الترويج، التوزيع، العاملون، الدليل المادي، العملية) في تعزيز ولاء الزبون (الولاء السلوكي، الولاء الموقفي، الولاء الادراكي)، ولغرض تحقيق الهدف اعتمد الباحث المنهج الوصفي التحليلي لتحليل فرضيات الارتباط والتأثير للبحث، تم جمع المعلومات من خلال الاستبانة التي عدت لهذا الغرض، وجرى استطلاع آراء (300) زبون من زبائن الأسواق، واستعم
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ان الهدف من البحث الحالي هو للتعرف على أهمية دور تخطيط التعاقب الوظيفي في تنمية رأس المال البشري في المنظمات في ظل الاحداث والمتغيرات المتسارعة والديناميكية في بيئة العمل ، وقد اشارت مشكلة البحث إلى خطورة تقاعد أو مغادرة الموظفين لمناصبهم لأي سبب كان ومدى تأثيره على المنظمة في خلق فجوات في القيادة ومشاكل في إدارة ضخ المواهب ، لأنه سيحدث نقص في المواهب ، الأمر الذي سيؤثر بدوره على الأداء العام للأعمال
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Manipulation is a discursive concept which plays a key role in political discourse by which politicians can impose some impact on their recipients through using linguistic features, most prominent of which are personal pronouns (Van Dijk, 1995). The aim of this study is to investigate how politicians utilize the personal pronouns, namely; We and I and their possessive forms as a tool of manipulating the audience's mind based on Van Dijk's "ideological square" which shows positive-self representation and negative-other representation (Van Dijk,1998:p.69). To this end, American President Donald Trump's 2020 State of the Union speech was chosen to be the data of analysis. Only (8)
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IFRS 2010 ) صدر المعيار 9 - نتيجة الأزمة المالية العالمية التي حدثت عام ( 2007الذي كان يعترف بالخسائر الائتمانية بعد وقوعها أي التي IAS لمعالجة القصور في المعيار 39حدثت فعلاً وبشكل متأخر مما تسبب في حدوث الأزمة، حيث جاء المعيار الجديد لمعالجة هذاالقصور من خلال التنبؤ بالخسائر الائتمانية قبل حدوثها مما يساعد المصارف على اتخاذالاحتياطات اللازمة من خلال دراسة المؤشرات التي يمكن ان تدق ناقوس الخطر لحدوث مثل هذهالأزما
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دور المعالجة الادراكية في اختزال البنية التصميمية للعلامة التجارية
Social media is known as detectors platform that are used to measure the activities of the users in the real world. However, the huge and unfiltered feed of messages posted on social media trigger social warnings, particularly when these messages contain hate speech towards specific individual or community. The negative effect of these messages on individuals or the society at large is of great concern to governments and non-governmental organizations. Word clouds provide a simple and efficient means of visually transferring the most common words from text documents. This research aims to develop a word cloud model based on hateful words on online social media environment such as Google News. Several steps are involved including data acq
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