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Fast and Accurate Indonesian QnA Chatbot Using Bag-of-Words and Deep-Learning For Car Repair Shop Customer Service 基于词袋和深度学习的印尼语QnA聊天机器人,用于汽车修理店客户服务
Pub Date : 2023-07-31 DOI: 10.26877/asset.v5i2.14891
M. T. Anwar, Azzahra Nurwanda, Fajar Rahmat, Muhammad Aufal, H. Purnomo, A. Supriyanto
A chatbot is a software that simulates human conversation through a text chat. Chatbot is a complex task and recent approaches to Indonesian chatbot have low accuracy and are slow because it needs high resources. Chatbots are expected to be fast and accurate especially in business settings so that they can increase customer satisfaction. However, the currently available approach for Indonesian chatbots only has low to medium accuracy and high response time. This research aims to build a fast and accurate chatbot by using Bag-of-Words and Deep-Learning approach applied to a car repair shop customer service. Sixteen different intents with a set of their possible queries were used as the training dataset. The approach for this chatbot is by using a text classification task where intents will be the target classes and the queries are the text to classify. The chatbot response then is based on the recognized intent. The deep learning model for the text classification was built by using Keras and the chatbot application was built using the Flask framework in Python. Results showed that the model is capable of giving 100% accuracy in predicting users’ intents so that the chatbot can give the appropriate responses and the response time is near zero milliseconds. This result implies that developers who aim to build fast and accurate chatbot software can use the combination of bag-of-words and deep-learning approaches. Several suggestions are presented to increase the probability of the chatbot’s success when released to the general public.
聊天机器人是一种通过文字聊天模拟人类对话的软件。聊天机器人是一项复杂的任务,目前的印尼语聊天机器人研究方法准确率低,速度慢,因为需要大量的资源。聊天机器人应该是快速和准确的,特别是在商业环境中,这样他们就可以提高客户满意度。然而,目前印尼聊天机器人可用的方法只有中低精度和高响应时间。本研究旨在将Bag-of-Words和深度学习方法应用于某汽车修理店的客户服务中,构建一个快速准确的聊天机器人。16个不同的意图和一组可能的查询被用作训练数据集。这个聊天机器人的方法是使用一个文本分类任务,其中意图是目标类,查询是要分类的文本。然后聊天机器人的响应是基于识别的意图。文本分类的深度学习模型使用Keras构建,聊天机器人应用程序使用Python中的Flask框架构建。结果表明,该模型能够100%准确地预测用户的意图,从而使聊天机器人能够给出适当的响应,响应时间接近零毫秒。这一结果意味着,旨在构建快速、准确的聊天机器人软件的开发人员可以使用词袋和深度学习方法的结合。提出了一些建议,以增加聊天机器人在向公众发布时成功的可能性。
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引用次数: 0
Spatial Analysis of Water Infiltration Potential in the Miu Watershed of Sigi Regency 锡吉县缪流域水入渗潜力空间分析
Pub Date : 2023-07-31 DOI: 10.26877/asset.v5i2.16626
Amati Eltriman Hulu, H. Muis, Sudirman Daeng Massiri, Naharuddin Naharuddin, B. Toknok, H. Pribadi, Abdul Rahman, Arman Maiwa, Rhamdhani Fitrah Baharuddin, Muhammad Adam Suni, N. Istiqamah
Abstract. The sustainable management of the Miu watershed Basin is something that needs to be considered in line with the increasing complexity of environmental sustainability challenges and current water availability, not limited to maintaining the flow of water but need to pay attention to the balance of the ecosystem. Ecosystem conditions that are maintained influence high water absorption capacity, thereby reducing surface water runoff.. This research was conducted in the Miu watershed Basin with the aim of identifying the potential for water absorption, the method used in this study was a scoring method with four parameters, namely soil type, slope, rainfall, and land use. Data analysis was carried out using a Geographic Information System (GIS) approach. The results showed that the water absorption conditions in the Miu watershed Basin were classified as good (8.29%), normal good (73.91%), starting to be critical (14.51%), moderately critical (3.29%), and critical ( 0.00%).
摘要随着环境可持续性挑战的日益复杂和当前水资源的可用性,Miu流域流域的可持续管理需要考虑,不仅限于维持水的流动,还需要关注生态系统的平衡。维持的生态系统条件影响高吸水能力,从而减少地表水径流。本研究以Miu流域为研究对象,采用土壤类型、坡度、降雨量、土地利用4个参数的评分法,对该流域的吸水潜力进行识别。使用地理信息系统(GIS)方法进行数据分析。结果表明:Miu流域的吸水条件为良好(8.29%)、一般良好(73.91%)、开始临界(14.51%)、中等临界(3.29%)和临界(0.00%)。
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引用次数: 0
Quality Assurance Plan on a Linear Accelerator (LINAC) Plane on Nasopharynx Cancer (NFC) by using Prowess Panther 5.10 at Radiotherapy Installation Ken Saras Hospital 在肯萨拉斯医院放射治疗装置中使用勇猛豹5.10在鼻咽癌直线加速器(LINAC)平面上的质量保证计划
Pub Date : 2023-07-31 DOI: 10.26877/asset.v5i2.15247
Pandu Kurnianto, G. Maslebu, J. Muninggar, Muhammad Hidayatullah
Radiotherapy is the treatment of cancer by using electromagnetic and particle radiation. Nasopharyngeal Cancer (NPC) is one of the difficult case to be treated in radiotherapy because its anatomical location. Precision of radiation dose is part of Quality Assurance Program as the key factor in this treatment. Thus, it is very important to ensure that the output dose of Linear Accelerator (LINAC) matched with result of Treatment Planning System (TPS). This study used Siemens LINAC Type Primus MACH Series 5633 and a set of detectors for Nasopharynx Cancer analysis with 8 field. The total dose of 5,000 cGy divided into 25 fractions with 200 cGy dose per fraction. The 8 fields are irradiated with a target on a detector device. It is then accumulated with PTW-Verisoft software by plotting the results obtained from the detector tool with PTW (phantom) which we have CT Scanned first in PTW-Verisoft. From the total detectors exposed to the radiation, the detector corresponding to PTW is 372 detectors (100%) with unsuitable detector of 0 detectors (0.00%). It is proved that the planning is 100% match for NPC with 8 fields of radiation. Thus, this method is recomended to be implemented for NPC treatment
放射治疗是利用电磁和粒子辐射治疗癌症。鼻咽癌因其解剖位置,是放疗治疗的难点之一。放射剂量的准确性是质量保证程序的一部分,是该治疗的关键因素。因此,确保直线加速器(Linear Accelerator, LINAC)的输出剂量与治疗计划系统(Treatment Planning System, TPS)的结果相匹配是非常重要的。本研究采用西门子LINAC型Primus MACH系列5633和一套8场鼻咽癌检测仪器。总剂量为5,000 cGy,分为25份,每份剂量为200 cGy。用探测器装置上的目标照射8个场。然后用PTW(幻影)绘制检测器工具获得的结果,我们先在PTW- verisoft中进行CT扫描,然后用PTW- verisoft软件进行累积。从暴露于辐射的探测器总数来看,PTW对应的探测器为372个(100%),不合适的探测器为0个(0.00%)。结果表明,该规划与NPC的8场辐射100%匹配。因此,这种方法被推荐用于鼻咽癌的治疗
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引用次数: 0
Design Optimization of DR3AM Vapor Polishing Device for ABS 3D-Printed Parts ABS 3d打印零件DR3AM蒸汽抛光装置的设计优化
Pub Date : 2023-07-31 DOI: 10.26877/asset.v5i2.16271
Rosa Mae D. Baluyut, Jan Rapaela B. Bartolome, H. R. B. De Guzman, Josefa L. Morales, Anthony N. Moscosa, Angeline D. Olavides, Jan Aubrey B. Sanchez, M. T. Espino, Ciara Catherine L. Gache, B. Tuazon, J. Dizon
3D printing is an additive manufacturing method that turns digital design into an actual product. A 3D-printed part sometimes requires post-processing to enhance its physical and mechanical properties. Acetone vapor polishing is one of those techniques which is highly beneficial in smoothing ABS 3D-printed parts. Previously, an acetone vapor polishing device has been developed which uses a mist maker. However, for a more efficient polishing method, an optimized vapor polishing device using heat has been fabricated in this study. To assess the efficiency of this device, the researchers test the dimensional accuracy, surface roughness, tensile strength, and impact strength of polished and unpolished ABS 3D-printed specimens. The findings showed that the surface smoothness of the polished cube specimens did not significantly alter its physical geometry. The tensile test reveals that the overall elasticity of the polished tensile specimen has increased significantly while the impact test also shows that the polished specimens have the capacity to sustain a resistive impact from a swinging pendulum. Thus, all testing procedures indicated that post-processing using the optimized vapor polishing device has improved the overall physical and mechanical properties of the polished specimens.
3D打印是一种将数字设计转化为实际产品的增材制造方法。3d打印部件有时需要后处理以增强其物理和机械性能。丙酮蒸汽抛光是一种非常有利于光滑ABS 3d打印部件的技术。在此之前,已经开发了一种使用雾发生器的丙酮蒸汽抛光装置。然而,为了获得更有效的抛光方法,本研究制作了一种优化的热蒸汽抛光装置。为了评估该设备的效率,研究人员测试了抛光和未抛光ABS 3d打印样品的尺寸精度、表面粗糙度、抗拉强度和冲击强度。结果表明,抛光立方体试样的表面光滑度没有显著改变其物理几何形状。拉伸试验表明,抛光后拉伸试样的整体弹性显著提高,冲击试验也表明,抛光后的试样具有抵抗摆锤冲击的能力。因此,所有的测试程序都表明,使用优化的蒸汽抛光装置进行后处理可以改善抛光样品的整体物理力学性能。
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引用次数: 0
Single Sign On Using Keycloak Integrated Public Key Infrastructure for User Authentication In Indonesia’s Electronic Based Government System 基于Keycloak集成公钥基础设施的印尼电子政务系统用户认证单点登录
Pub Date : 2023-07-31 DOI: 10.26877/asset.v5i2.15795
W. Hermawan
The government in carrying out its function as a public administration servant is regulated in law of the Republic of Indonesia number 25/2009 on public services. In this regulated about electronic government (e-government), many individuals use various web applications that require users to authenticate themselves to access each application. Many entities require various web- based applications for operational activities. This makes centralized access management for web-based applications very much needed. Currently, access management is often implemented using Single Sign On (SSO) with password authentication method. Security considerations arise against the use of passwords. This is because passwords have a vulnerability to brute forcing using a password list, and human nature often uses repeated or uncomplicated passwords. There is an alternative authentication method, namely Mutual TLS which utilizes Public Key Infrastructure (PKI). Users authenticate with X.509 digital certificates, so the authentication factor becomes something you have. This research aims to implement an integrated PKI SSO system and RBAC access automation. The approach of this project is research, design, implementation, and testing. The entire system is built with open-source software and implemented on a cloud infrastructure. The system has three subsystems, namely registration, login and RBAC access automation. All subsystems are tested according to the specified flow. The test results show that the registration subsystem has been successfully carried out as evidenced by the success of filling in personal data, approval flow, and downloading of certificates. The login subsystem was also successfully implemented, as evidenced by the existence of mTLS authentication with certificate validation. In testing the RBAC access automation subsystem, it is shown that the script created can perform access checks and access remediation if needed.
印度尼西亚共和国关于公共服务的第25/2009号法律对政府履行公共行政服务者的职能进行了规定。在这种规范的电子政务(e-government)中,许多个人使用各种web应用程序,这些应用程序要求用户对自己进行身份验证才能访问每个应用程序。许多实体需要各种基于web的应用程序来进行业务活动。这使得基于web的应用程序非常需要集中访问管理。目前,访问管理通常采用带密码认证的单点登录(SSO)方式实现。使用密码会引起安全方面的考虑。这是因为密码存在使用密码列表进行暴力破解的漏洞,而人类通常会使用重复或不复杂的密码。有一种替代的身份验证方法,即利用公钥基础设施(PKI)的互TLS。用户使用X.509数字证书进行身份验证,因此身份验证因素成为您拥有的东西。本研究旨在实现PKI单点登录系统与RBAC访问自动化的整合。这个项目的方法是研究、设计、实现和测试。整个系统是用开源软件构建的,并在云基础设施上实现。该系统分为注册、登录和RBAC访问自动化三个子系统。所有子系统都按照规定的流程进行测试。测试结果表明,注册子系统已成功实现,个人资料的填写、审批流程、证书的下载均取得了成功。登录子系统也成功地实现了,这可以通过存在的带有证书验证的mTLS身份验证来证明。在测试RBAC访问自动化子系统时,可以看到所创建的脚本可以在需要时执行访问检查和访问修复。
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引用次数: 0
INCREASING MATERNAL KNOWLEDGE IN PREVENTING STUNTING THROUGH COMMUNITY-BASED NUTRITION EDUCATION 通过社区营养教育提高孕产妇预防发育迟缓的知识
Pub Date : 2023-07-31 DOI: 10.26877/asset.v5i2.16252
Ade Emaniar Emaniar, Nabila Shafira Octafania, Arie Maulana Buchori, Diah Ayu Anggraeni, Rachma Widyawati Widyawati, Anastasya Yushinta Mawardhani, Derina Fuji Astuti, Rifa Safitri Anggrena, Andi Zahra Putri.M.S, Mia Roosana Roosana, Yuliana Dwi Kurniawati, Belinda Dian Septianingrum, Vilda Ana Veria Setyawati
Stunting is a disorder of growth and development of children due to chronic malnutrition and recurrent infections, which is characterized by their length or height being below the standards set by the minister who organizes government affairs in the health sector. The respondents in this activity were mothers and toddlers in RW 02, RT 01, 02, and 03. The sample in this activity was 42 toddler. The purpose of this activity is to increase mothers' knowledge about feeding, especially fruits and vegetables with balanced nutritional content for toddlers. The method used is the Wilcoxon Test with a confidence level of 95% and α = 0.05. The results and discussion using the Wilcoxon test showed an increase in maternal knowledge related to stunting. There are 5 toddlers affected by stunting. There are efforts to change behavior for the better and increase maternal knowledge in stunting prevention, namely by socialization about the importance of preventing stunting, nutritious food demos, posters of processed fruit and vegetable creations, and distribution of PMT (Supplementary Feeding).
发育迟缓是由于长期营养不良和反复感染造成的儿童生长发育障碍,其特点是儿童的身高或长度低于负责管理卫生部门政府事务的部长所规定的标准。本次活动的被调查者为rw02, rt01, rt02和rt03的母亲和幼儿。本次活动的样本为42名幼儿。这项活动的目的是增加母亲对喂养的知识,特别是为幼儿提供营养均衡的水果和蔬菜。采用Wilcoxon检验,置信水平为95%,α = 0.05。使用Wilcoxon检验的结果和讨论表明,母亲对发育迟缓的相关知识有所增加。有5个蹒跚学步的孩子发育迟缓。人们正在努力改变行为,提高孕产妇预防发育迟缓的知识,即通过社会化宣传预防发育迟缓的重要性、营养食品演示、加工水果和蔬菜制品的海报以及分发PMT(补充喂养)。
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引用次数: 0
Optimizing Project Performance by Applying the Crashing Method to Road Construction Project 应用碰撞法优化道路建设项目绩效
Pub Date : 2023-07-31 DOI: 10.26877/asset.v5i2.15944
Pramudya Febryanti Dewi, Z. R. Kamandang
In the implementation of projects, various obstacles are often encountered which cause delays which have an impact not only on the duration of implementation but also on the costs incurred. These constraints can be in the form of a lack of resources, weather factors to social factors. Thus, it is necessary to accelerate and optimize what can be done to overcome the delay. As well as efficient resource management. One of the acceleration methods that can be used is the Crashing method. One of them is the application of the crashing method to the Ringinrejo - BTS road construction project. Regency. Malang STA 2+350 – 6+300 which experienced delays in its implementation. After analyzing the remaining work, the duration of the remaining work was 273 days or completed on December 31, 2022. In the initial planning, the project was scheduled for completion on October 3, 2022, so based on this, the project experienced a delay of 89 days. The total minimum fee that must be incurred is IDR 1,524,960.00 with an additional fee of IDR 21,180,000.00 per day. Daily productivity for ordinary excavation works, which was originally 303.20 m³/hour, increased to 909.59 m³/hour. For daily productivity on ordinary embankment work which was originally 371.92 m³/hour to 743.84 m³/hour and productivity on road construction work which was originally 330.91 m³/hour to 661.81 m³/hour. After the acceleration using the crashing analyzing method on existing critical paths, it is known that the duration of project implementation which was originally 273 days became 184 days by adding the number of heavy equipment. with an additional fee of IDR 1,524,960,000
在执行项目时,经常遇到各种障碍,造成延误,这不仅影响到执行的时间,而且影响到所产生的费用。这些制约因素的形式可以是资源缺乏、天气因素、社会因素。因此,有必要加快和优化可以做些什么来克服延迟。以及高效的资源管理。其中一个可以使用的加速方法是crash方法。其中一项是将碰撞法应用于Ringinrejo - BTS公路建设项目。摄政。Malang sta2 +350 - 6+300在实施上经历了延迟。通过对剩余工作的分析,剩余工作的时间为273天,即在2022年12月31日完成。在最初的规划中,该项目计划于2022年10月3日完工,因此该项目经历了89天的延迟。必须支付的最低费用总额为1,524,960.00印尼盾,每天额外收费21,180,000 0.00印尼盾。普通开挖工程的日生产率由原来的303.20 m³/小时提高到909.59 m³/小时。普通路堤工作的每日生产力,由原来的371.92立方米/小时增至743.84立方米/小时;筑路工作的生产力,由原来的330.91立方米/小时增至661.81立方米/小时。在现有关键路径上采用碰撞分析法加速后,通过增加重型设备的数量,项目实施时间由原来的273天变为184天。另外收费1,524,960,000印尼盾
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引用次数: 0
Analysis Determination of the Best Employee Using the Simple Additive Weighting Method 用简单加性加权法确定最佳员工的分析
Pub Date : 2023-04-30 DOI: 10.26877/asset.v5i1.15062
H. Kusumo, Achmad Solechan, Febryantahanuji Febryantahanuji
In a company, quality human resources are very important to carry out business processes in accordance with the vision and mission that has been set. CV. Jaya Abadi is a company engaged in the procurement and repair services of various electronic devices and was founded in 2015. To encourage the creation of ever-increasing performance productivity, CV. Jaya Abadi selects the best employees using a decision support system. One of the methods used is the Simple Additive Weighting (SAW) method. In this study, the data used consisted of internal data and external data. There are several criteria that are taken into consideration in selecting the best employees, namely discipline, quality of work, cooperation, and behavior. The SAW method is proven to be effective and practical in calculating to determine the best employee recommendations at CV. Jaya Abadi. Thus, decision makers can consider these recommendations according to the priorities set.
在公司中,高质量的人力资源对于按照既定的愿景和使命执行业务流程非常重要。简历。Jaya Abadi是一家从事各种电子设备采购和维修服务的公司,成立于2015年。为了鼓励创造不断提高的绩效生产力,CV。Jaya Abadi使用决策支持系统选择最佳员工。使用的方法之一是简单加性加权(SAW)方法。在本研究中,使用的数据包括内部数据和外部数据。在选择最好的员工时有几个标准要考虑,即纪律、工作质量、合作和行为。结果表明,SAW法是一种有效的、实用的方法。Jaya Abadi。因此,决策者可以根据设定的优先事项考虑这些建议。
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引用次数: 0
Utilization of Heat from Geothermal Well Pipes as Electricity for Road Lighting Based on The Internet of Things 基于物联网的地热井管道热能发电用于道路照明
Pub Date : 2023-04-30 DOI: 10.26877/asset.v5i1.14980
Rizani Firdaus, Muhamad Ariandi
PT. Pertamina Geothermal Energy Area Lumut Balai has a very extreme work location with various contours, safety factors and lack of access to electricity for street lighting are things that need attention given the importance of street lighting in the company's operations. Street lighting is an important element that supports the comfort and safety of road users in their activities at night. The research objective is to design an IoT (Internet Of Things) system that can monitor the utilization of pipe heat into electrical energy for street lighting and provide street lighting needs around geothermal well pipes. In this study used thermoelectric as a tool to generate electrical energy from available heat. The IoT system is used to read data parameters as a tool to display temperature, voltage and current values on the LCD (Liquid Crystal Display) and the Thingspeak website. The temperature value is read by the MAX6675 thermocouple sensor while the INA219 sensor is used to read the voltage and current values. The focus of this research is to heat the thermoelectric so that it can produce electrical energy to turn on the lights as lighting and can monitor parameter data directly. The highest thermoelectric electrical energy output is at a temperature of 75.1˚C. Where at this temperature a voltage of 2.32 V is generated and a current of 0.03 A. The lamp will turn on if the thermoelectric heat is fulfilled. The light turns on when the environment is dark and the light turns off when the environment is bright
PT. Pertamina地热能源区Lumut Balai有一个非常极端的工作地点,有各种各样的轮廓,安全因素和缺乏街道照明电力是需要注意的事情,因为街道照明在公司运营中的重要性。街道照明是一个重要的因素,支持道路使用者在夜间活动的舒适性和安全性。研究目标是设计一个IoT(物联网)系统,该系统可以监测管道热量转化为街道照明电能的利用情况,并提供地热井管道周围的街道照明需求。在这项研究中,使用热电作为一种工具,从可用的热量中产生电能。物联网系统用于读取数据参数,作为在LCD(液晶显示器)和Thingspeak网站上显示温度,电压和电流值的工具。温度值由MAX6675热电偶传感器读取,而INA219传感器用于读取电压和电流值。本课题的研究重点是对热电材料进行加热,使其产生电能作为照明用,并可直接监测参数数据。在温度为75.1℃时,热电电能输出最高。在这个温度下,电压为2.32 V,电流为0.03 a。如果热电加热完成,灯就会亮。当环境较暗时,灯会打开,当环境较亮时,灯会关闭
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引用次数: 0
Aspect-based Sentiment Analysis on Car Reviews Using SpaCy Dependency Parsing and VADER 基于空间依赖句法和VADER的汽车评论情感分析
Pub Date : 2023-04-30 DOI: 10.26877/asset.v5i1.14897
M. T. Anwar, Dedy Trisanto, Ahmad Juniar, Fitra Aprilindo Sase
All businesses, including car manufacturers, need to understand what aspects of their products are perceived as positive and negative based on user reviews so that they can make improvements for the negative aspects and maintain the already positive aspects of their products. One of the available tools for this task is Sentiment Analysis. The traditional document-level and sentence-level sentiment analysis will only classify each document / sentence into a class. This approach is incapable of finding the more fine-grained sentiment for a specific aspect of interest, for example, comfort, price, engine, paint, etc. Therefore, in this case, Aspect-based Sentiment Analysis is used. A total of 22.702 rows of car review data are scraped from the Edmunds website (www.edmunds.com) for a specific car manufacturer. Dependency Parsing and noun phrase extraction were carried out using the SpaCy module in Python, and VADER sentiment analysis was used to determine the polarity of the sentiment for each noun phrase. Results showed that the vast majority of the sentiments are on the positive aspects: comfortable to drive, good fuel economy / mileage, reliability, spaciousness, value for money, helpful rear camera, quiet ride, good acceleration, well-designed, good sound system, and solid build. The results for the negative aspects have some similar aspects with those in the positive class but has a very low frequency. This finding means that the vast majority of the users are satisfied with multiple aspects of the produced cars. The limitation of this research and future research direction are discussed.
包括汽车制造商在内的所有企业都需要根据用户的评论了解他们产品的哪些方面被认为是积极的,哪些方面是消极的,这样他们就可以对消极方面进行改进,并保持产品已经具有的积极方面。其中一个可用的工具是情绪分析。传统的文档级和句子级情感分析只会将每个文档/句子划分为一个类。这种方法无法找到特定兴趣方面的更细粒度的情感,例如舒适度、价格、引擎、油漆等。因此,在这种情况下,使用基于方面的情感分析。从Edmunds网站(www.edmunds.com)为特定的汽车制造商收集了总共22.702行汽车评论数据。使用Python中的SpaCy模块进行依存关系分析和名词短语提取,并使用VADER情感分析确定每个名词短语的情感极性。结果显示,绝大多数人的看法都是积极的:驾驶舒适,燃油经济性/里程好,可靠性,宽敞,物有所值,有用的后置摄像头,安静的驾驶,良好的加速,精心设计,良好的音响系统,坚固的结构。消极方面的结果与积极方面的结果有一些相似之处,但频率很低。这一发现意味着绝大多数用户对生产汽车的多个方面感到满意。讨论了本研究的局限性和未来的研究方向。
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引用次数: 0
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