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Analogy-based Common-Sense Knowledge for Opinion-Target Identification and Aggregation
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The development of Web 2.0 has improved people's ability to share their opinions. These opinions serve as an important piece of knowledge for other reviewers. To figure out what the opinions is all about, an automatic system of analysis is needed. Aspect-based sentiment analysis is the most important research topic conducted to extract reviewers-opinions about certain attribute, for instance opinion-target (aspect). In aspect-based tasks, the identification of the implicit aspect such as aspects implicitly implied in a review, is the most challenging task to accomplish. However, this paper strives to identify the implicit aspects based on hierarchical algorithm incorporated with common-sense knowledge by means of dimensionality reduction.

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Publication Date
Tue Aug 15 2023
Journal Name
Journal Of Economics And Administrative Sciences
The Influence of Customer Knowledge Management on Sustainable Promotion
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This research has investigated the effect of the customer knowledge management CKM in sustainable promotion SP. The research conducted a quantitative method on a sample of employees in the Al-Furat State Company for Chemical Industries affiliated / the Ministry of Industry and Minerals in Iraq. The research’s problem presented a set of questions, one of the most important was (is there a relation and impact between the dimensions of customer knowledge management and sustainable promotion). The aim of the research is to identify the extent to which customer knowledge management activities are applied in understudy organization. This research adopted the questionnaire as a main instrument to collect information from (140) participants in

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Publication Date
Wed Jun 01 2016
Journal Name
Journal Of Economics And Administrative Sciences
The role of knowledge management processes in Creative marketing
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The research aims to measure the impact of knowledge management processes individually and in total in the innovative marketing.

We depart search of a problem expressed in a number of intellectual and practical questions, the application of this research in the General Company for Vegetable Oil Industry, represented composed a sample of (63) (Director General and Deputy Director General and Director of the Department and the Division) in the company researched, it has been designed measuring instrument to collect the necessary data either statistical means they are the percentage and the arithmetic mean and standard deviation and coefficient of variation and the coefficient of simple correlation and model

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Publication Date
Tue Jun 14 2016
Journal Name
Al-academy
Employed Knowledge Experience &Skills In Universal Designs Graphic Production
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The working of the some designer was recognize by the Production and introduction of the design which have special stemp and style determind by the experience and the Knowledge ability for the Designer which change the ordinaries shape to the develops shaps bening ideas and new meanings un known to the viewen make the design at high level of creative and the designer acquest experiennce and new skill in his way for the designs and the art march-out which clearly demonstrate on all the graphical work so the high research conserned on the knowledge and detect about the methods constructing of the ability and expernence for the graphic designer become it is decisive worker in effective or net effective the designers work and any consist whi

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Publication Date
Thu Feb 01 2018
Journal Name
Applied Mathematical Modelling
Identification of a multi-dimensional space-dependent heat source from boundary data
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Publication Date
Sun Jan 01 2017
Journal Name
World Journal Of Pharmaceutical Research
IDENTIFICATION OF SOME SPECIES OF WIREWORM AGRIOTES SPP. (COLEOPTERA: ELATERIDAE) IN BAGHDAD
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Publication Date
Wed Mar 16 2016
Journal Name
World Journal Of Pharmaceutical Research
Identification of some species of wireworm Agriotes spp.(Coleoptera: Elateridae) in Baghdad
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Publication Date
Sat Jan 01 2022
Journal Name
Journal Of The Mechanical Behavior Of Materials
Identification of the main causes of risks in engineering procurement construction projects
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Abstract<p>Many risks have adverse consequences for construction projects’ objectives such as quality, schedule, and cost. As engineering procurement construction (EPC) contracts gradually become one of the most common types used in implementing major large-scale construction projects, identifying common risk types and analyzing their root causes is important for developing measures to decrease and eliminate future risks in these types of contracts. The information about the main causes of risks was collected <italic>via</italic> well-structured questionnaires addressed to construction sector professionals and preparing lists of main potential risks in EPC/construction projects throu</p> ... Show More
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Publication Date
Tue Jun 20 2023
Journal Name
Bulletin Of The Iraq Natural History Museum
IDENTIFICATION OF HARD TICKS FROM BUFFALO BUBALUS BUBALIS (LINNAEUS, 1758) IN IRAQ
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Ticks (Acari: Ixodidae) are ectoparasites that infest livestock in every geographic region of the world and are vectors of several viral, bacterial, and protozoan pathogens to both animals and humans. There is little information is available is about tick presence in Buffalo Bubalus bubalis (Linnaeus, 1758) (Artiodactyla, Bovidae) in Iraq. The current study determined the species of ticks parasitizing Buffalo in some central and southern regions included: Baghdad (Al Fathelia), Karbala (Al-Hussainia), Wasit (Kut and Al-Suwairah), Al-Qadisia (Al- Diwaniyah, Al- Saniya, Al-Mihnawea, and Afak), Thi Qar (Al-Nasiriyah and Al-chibayish), Missan (Amara and Qalaat Salih) and Basrah (Al-Haretha, Al-Madena and Al-Deer). A total of 150 Buffal

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Publication Date
Tue Jun 23 2020
Journal Name
Baghdad Science Journal
Anomaly Detection Approach Based on Deep Neural Network and Dropout
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   Regarding to the computer system security, the intrusion detection systems are fundamental components for discriminating attacks at the early stage. They monitor and analyze network traffics, looking for abnormal behaviors or attack signatures to detect intrusions in early time. However, many challenges arise while developing flexible and efficient network intrusion detection system (NIDS) for unforeseen attacks with high detection rate. In this paper, deep neural network (DNN) approach was proposed for anomaly detection NIDS. Dropout is the regularized technique used with DNN model to reduce the overfitting. The experimental results applied on NSL_KDD dataset. SoftMax output layer has been used with cross entropy loss funct

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Publication Date
Fri Nov 01 2024
Journal Name
Egyptian Journal Of Veterinary Sciences
Isolation and Identification of Pathogenic Streptococcus pyogenes from Vaginal and Cervical Cavity of Arabian Mares in Al-Zawraa Animals Park
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