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Opinion mining of customers reviews using new Jaccard dissimilarity kernel function 基于Jaccard不相似核函数的顾客评论意见挖掘
Q3 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijenm.2023.10058459
Ernest Johnson, Santhosh Kumar Arjunan, Punniyamoorthy Murugesan
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引用次数: 0
Opinion mining of customers reviews using new Jaccard dissimilarity kernel function 基于Jaccard不相似核函数的顾客评论意见挖掘
Q3 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijenm.2023.132966
Santhosh Kumar Arjunan, Punniyamoorthy Murugesan, Ernest Johnson
Opinion mining (aka sentiment mining), a subdivision of text classification has become traction among researchers in recent decades, due to the popularity of its practical application in real-time scenarios like product reviews, politics, movies, etc. Various machine learning algorithms are used to identify the document or sentence opinions which are available in social space. SVM is one of the most popular supervised machine learning algorithms and uses kernel function to classify data when the data points are nonlinearly separable. In this paper, we have proposed a new Kernel function called Jaccard dissimilarity Kernel functions where the distance between the two binary vectors is classified based on principle of Jaccard coefficient. In our study, we used this Jaccard Kernel function to classify the opinions of the recent Bollywood movie reviews in to positive and negative.
观点挖掘(又称情感挖掘)是文本分类的一个分支,近几十年来,由于其在产品评论、政治、电影等实时场景中的实际应用受到了广泛的关注,因此受到了研究人员的关注。各种机器学习算法用于识别社会空间中可用的文档或句子观点。支持向量机是目前最流行的有监督机器学习算法之一,它在数据点是非线性可分的情况下使用核函数对数据进行分类。本文提出了一种新的核函数,称为Jaccard不相似核函数,其中两个二进制向量之间的距离是根据Jaccard系数的原理进行分类的。在我们的研究中,我们使用这个Jaccard核函数将最近宝莱坞电影评论的意见分为正面和负面。
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引用次数: 0
Selection of coating material for AISI 304 L SS using fuzzy AHP-PROMETHEE II for erosion corrosion applications 采用模糊AHP-PROMETHEE II对AISI 304 L SS的侵蚀腐蚀应用进行涂层材料的选择
Q3 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijenm.2023.132964
Resmi V. Prasad, R. Rajesh
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引用次数: 0
Multi-objective optimisation of wear process parameters of 413/fly ash composites using grey relational analysis 基于灰色关联分析的413/粉煤灰复合材料磨损工艺参数多目标优化
Q3 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijenm.2023.10060094
A. Divya Sadhana, S. Jebarose Juliyana, R. Rajesh, J. Udaya Prakash
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引用次数: 0
Fashion market segmentation using Facebook: an empirical approach 基于Facebook的时尚市场细分:一种实证方法
Q3 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijenm.2023.10060091
Sanjay Mohapatra, Satya Shankar Banerjee
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引用次数: 0
Development of coating material for low carbon steels using MCDM MCDM低碳钢涂层材料的研制
Q3 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijenm.2023.134576
Resmi V. Prasad, R. Rajesh
Fluid handling equipment like propellers, impellers, pumps, and pumps in warships and submarines are all vulnerable to flow-based erosion and corrosion. While numerous coating materials are available to counteract erosion corrosion damage in the aforesaid components, iron-based amorphous coatings are thought to be more effective. This paper concentrates on the selection of the coating material for AISI 304L SS. In this investigation, WC-10Co-4Cr coating was selected on stainless steel substrate using MCDM techniques. Fuzzy analytic hierarchy process (FAHP) is the technique applied to calculate the weights of criteria and combinative distance-based assessment method (CODAS) is utilised for ranking the alternatives.
流体处理设备,如螺旋桨、叶轮、泵以及战舰和潜艇中的泵都容易受到流动侵蚀和腐蚀。虽然有许多涂层材料可用于抵消上述组件的侵蚀腐蚀损害,但铁基非晶涂层被认为更有效。本文主要研究了AISI 304L SS涂层材料的选择,采用MCDM技术在不锈钢基体上选择WC-10Co-4Cr涂层。采用模糊层次分析法(FAHP)计算标准权重,采用基于距离的组合评价法(CODAS)对备选方案进行排序。
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引用次数: 0
Fashion market segmentation using Facebook: an empirical approach 基于Facebook的时尚市场细分:一种实证方法
Q3 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijenm.2023.134579
Sanjay Mohapatra, Satya Shankar Banerjee
The purpose of this paper is to segment the Indian Facebook users into fashion consumer segments based on their behaviour and activities (like, post, share, etc.) exhibited on Facebook and establish a relationship with their Fashion shopping behaviour. The paper also aims to define the most broad and influential segments of Facebook users and their collective traits in terms of shopping behaviour, fashion brand preference, price preference, liking for quality, demand of new fashion, consumer social behaviour, etc. An online survey was conducted in which 158 users participated through structured questionnaire. The results give a clear idea about the consumer segments, which lie, on social media such as Facebook. Practitioners may define their targeting and positioning strategy based on the newly formed consumer segments. Practitioners and researchers may directly create and use consumer segments through social media behaviour of the consumers.
本文的目的是根据印度Facebook用户在Facebook上展示的行为和活动(喜欢,帖子,分享等)将他们划分为时尚消费者群体,并与他们的时尚购物行为建立关系。本文还旨在从购物行为、时尚品牌偏好、价格偏好、对质量的喜爱、对新时尚的需求、消费者社会行为等方面定义Facebook用户中最广泛和最具影响力的部分及其集体特征。通过结构化问卷对158名用户进行了在线调查。调查结果让我们清楚地了解了Facebook等社交媒体上的消费者群体。从业者可以根据新形成的消费群体来确定他们的目标和定位策略。从业者和研究人员可以通过消费者的社交媒体行为直接创造和利用消费者细分市场。
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引用次数: 0
Multi-objective optimisation of wear process parameters of 413/fly ash composites using grey relational analysis 基于灰色关联分析的413/粉煤灰复合材料磨损工艺参数多目标优化
Q3 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijenm.2023.134578
J. Udaya Prakash, S. Jebarose Juliyana, R. Rajesh, A. Divya Sadhana
Composite materials are made by combining the qualities of two or more distinct materials of comparable attributes. Metal matrix composites have emerged as remarkable materials due to their superior characteristics when compared to other matrix composites. The most promising lightweight materials are composed of aluminium alloys, which are utilised in the marine, aerospace, and automotive industries, but their use is limited due to their average strength and moderate wear resistance. In terms of wear resistance, AMCs beat their monolithic counterparts that are unreinforced. Stir casting was used to produce aluminium matrix composites made of 413 aluminium alloys with particulate fly ash reinforcements weighing 3%, 6%, and 9%. Wear tests were conducted in pin-on-disc wear tester following ASTM Standard G99-05 guidelines. The goal is to explore the effects of sliding speed, load, sliding distance, and reinforcing weight percentage on coefficient of friction and specific wear rate using ANOVA and grey relational analysis. Sliding distance (18.48%), load (17.39%) are the parameters which have extreme significance on composites' GRG followed by sliding speed (10.33%) and reinforcement (4.35%). By using grey relational analysis, wear behaviour can be predicted successfully.
复合材料是由两种或两种以上具有可比较特性的不同材料的性质组合而成的。与其他基复合材料相比,金属基复合材料由于其优越的特性而成为一种引人注目的材料。最有前途的轻质材料是由铝合金组成的,用于船舶、航空航天和汽车工业,但由于其平均强度和中等耐磨性,其使用受到限制。在耐磨性方面,amc击败了未加固的单片碳纤维。采用搅拌铸造法制备了413铝合金和掺量分别为3%、6%和9%的颗粒粉煤灰增强铝基复合材料。磨损试验按照ASTM标准G99-05指南在销盘式磨损试验机上进行。目的是利用方差分析和灰色关联分析探讨滑动速度、载荷、滑动距离和补强权重百分比对摩擦系数和比磨损率的影响。滑动距离(18.48%)、载荷(17.39%)是对复合材料GRG影响最大的参数,其次是滑动速度(10.33%)和配筋(4.35%)。通过灰色关联分析,可以成功地预测磨损行为。
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引用次数: 0
Multi-tier firm-level analysis of global auto supply chain: centrality and financial performance 全球汽车供应链的多层次企业层面分析:中心性与财务绩效
Q3 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijenm.2023.10060093
Bahar Movahedi, Kayvan Miri Lavassani
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引用次数: 0
Development of coating material for low carbon steels using MCDM MCDM低碳钢涂层材料的研制
Q3 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijenm.2023.10060092
Resmi V. Prasad, R. Rajesh
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引用次数: 0
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International Journal of Enterprise Network Management
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