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The document specifies hardware and software requirements for the development environment, including Python 3.9+, Windows/MacOS/Linux, and running in Jupyter Notebook via Anaconda Navigator. It also guides steps to download a Kaggle fake reviews dataset and set up and run the provided notebook (Research.ipynb), followed by reference entries.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/optimizing-machine-learning-models-for-real-time-detection-of-fake-product-reviews-on-e-commerce-submission-and-configuration-manual/291069/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/optimizing-machine-learning-models-for-real-time-detection-of-fake-product-reviews-on-e-commerce-submission-and-configuration-manual/291069.png","ImageObject",300,407,{"name":42,"@type":43},"Theodora","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-29","2026-09-17",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",10,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What are the minimum hardware and software requirements for this project setup?","Question",{"text":63,"@type":64},"The manual specifies at least 8 GB RAM, a minimum of 2 CPU cores, 5 GB available disk space, and an internet connection. It also requires Windows 10/11, macOS X or Linux, and Python 3.9+ running in Jupyter Notebook via Anaconda or standalone.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How does the manual instruct students to set up the development environment?",{"text":68,"@type":64},"It states the project is developed and tested on Jupyter Notebook (Anaconda Navigator), uses Anaconda as the environment manager (version 2023.x), and uses the notebook named Research.ipynb with local execution on the desktop.",{"name":70,"@type":61,"acceptedAnswer":71},"Where is the dataset obtained and how should the notebook be run?",{"text":72,"@type":64},"The fake reviews dataset is downloaded from Kaggle. Students then launch and run Research.ipynb, ensuring the dataset loads correctly and executing all cells using Kernel → Restart & Run All.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},291069,1789643363,{"code":4,"msg":82,"data":83},"success",{"doc_id":79,"user_id":84,"nickname":42,"user_avatar":85,"doc_module":4,"category_id":86,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":87,"file_id":88,"file_url":89,"file_type":90,"file_size":91,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":92,"language":93,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":94,"faqs":95,"seo_title":96,"seo_description":12,"update_tm":80,"read_time":97,"preview_page_count":4},687197207919,"https://ap-avatar.wpscdn.com/avatar/a000253d6f5f7c60be?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779446848396160552",8,"Configuration Manual  \nMSc Research Project MSc in Data Analytics  \nChollety Manoj Kumar Student ID: X23227541  \nSchool of Computing National College of Ireland  \nSupervisor: Jorge Basilio  \nNational College of Ireland MSc Project Submission Sheet School of Computing  \nStudent Name: Chollety Manoj Kumar  \nStudent ID: X23227541  \nProgramme: MSc in Data Analytics Year: 2025  \nModule: MSc Research Project  \nLecturer: Jorge Basilio  \nSubmission Due  \nDate: 14 September 2025  \nProject Title: Optimizing Machine Learning Models for Real-Time Detection of Fake Product Reviews on E-commerce  \nWord Count: 268 Page Count: 5  \nI hereby certify that the information contained in this (my submission) is information pertaining to research I conducted for this project. All information other than my own contribution will be fully referenced and listed in the relevant bibliography section at the rear of the project.  \nALL internet material must be referenced in the bibliography section. Students are required to use the Referencing Standard specified in the report template. To use other author's written or electronic work is illegal (plagiarism) and may result in disciplinary action.  \nSignature: Chollety Manoj Kumar  \nDate: 14-09-2025  \nPLEASE READ THE FOLLOWING INSTRUCTIONS AND CHECKLIST  \n\n| Attach a completed copy of this sheet to each project (including multiple copies) | □ |\n| --- | --- |\n| Attach a Moodle submission receipt of the online project submission, to each project (including multiple copies) . | □ |\n| You must ensure that you retain a HARD COPY of the project, both for your own reference and in case a project is lost or mislaid. It is not sufficient to keep a copy on computer. | □ |\n\nAssignments that are submitted to the Programme Coordinator Office must be placed into the assignment box located outside the office.  \n\n| Office Use Only |  |\n| --- | --- |\n| Signature: |  |\n| Date: |  |\n| Penalty Applied (if applicable): |  |\n\nConfiguration Manual  \nChollety Manoj Kumar  \nStudent ID: X23227541  \n1. Hardware and Software Configuration  \nHardware Requirements:  \nMinimum 8 GB RAM (Recommended 16 GB or higher) At least 2 CPU cores (Intel i5 or equalivant)  \n5 GB available disk space  \nInternet (for package installation and data) Software Requirements:  \nOperating System: Windows 10/11, MacOS X or Linux  \nPython Version: 3.9 or higher  \nRunning in the Jupyter Notebook ( Anaconda | Standalone)  \n2. Development Environment  \nNote: This project has been developed and tested on IDE/Editor: Jupyter Notebook (Anaconda Navigator)  \nEnvironment Manager: Anaconda (version 2023. x)  \nNotebook Name: Research.ipynb  \nExecution Mode: Local (Using Jupyter Notebook on Desktop)  \n3 . Download Fake Reviews Dataset from Kaggle  \nYou can access the dataset using the following link  \nFigure 1. Fake Reviews Dataset  \n4. Jupyter Notebook Setup  \n4.1 Install Anaconda  \nAnaconda comes bundled with Jupyter Notebook, Python, and useful libraries.  \n1. Download Anaconda from [https://www.anaconda.com/products/distribution](https://www.anaconda.com/products/distribution)  \n[2](2). Install and launch Anaconda Navigator  \nFigure 2. Anaconda Navigator  \n4.2 Launching Jupyter Notebook  \n1. From Anaconda Navigator, open Jupyter Notebook  \n2. Navigate to the folder where your .ipynb file is stored  \n3. Open the notebook (e.g. Research.ipynb)  \nFigure 3. Jupyter Notebook File View  \n5. Open Notebook & Run  \n1. Launch Research.ipynb  \n2. Ensure the dataset file is loaded correctly:  \nFigure 4: Reading Dataset  \nFigure 5. Research.ipynb File  \n5.1 Run all cells:  \nRun each cell in sequence using Kernel → Restart & Run All  \n6. References  \nKaggle. (2022) . Fake Reviews Dataset. Available at: [https://www.kaggle.com/datasets/mexwell/fake-reviews-dataset](https://www.kaggle.com/datasets/mexwell/fake-reviews-dataset) (Accessed: 7 August 2025) .  \nAnaconda Inc. (2023) . Anaconda Distribution. Available at:  \n[https://www.anaconda.com/](https://www.anaconda.com/) (Accessed: 7 Au","cbCaivpsltZnAtSH","https://ap.wps.com/l/cbCaivpsltZnAtSH","pdf",870004,7,"English","# Hardware and Software Configuration\n## Hardware Requirements\n## Software Requirements\n# Development Environment\n## IDE/Editor and Environment Manager\n# Download Fake Reviews Dataset from Kaggle\n# Jupyter Notebook Setup\n## Install Anaconda\n## Launching Jupyter Notebook\n# Open Notebook & Run\n## Run all cells\n# References","[{\"question\":\"What are the minimum hardware and software requirements for this project setup?\",\"answer\":\"The manual specifies at least 8 GB RAM, a minimum of 2 CPU cores, 5 GB available disk space, and an internet connection. It also requires Windows 10/11, macOS X or Linux, and Python 3.9+ running in Jupyter Notebook via Anaconda or standalone.\"},{\"question\":\"How does the manual instruct students to set up the development environment?\",\"answer\":\"It states the project is developed and tested on Jupyter Notebook (Anaconda Navigator), uses Anaconda as the environment manager (version 2023.x), and uses the notebook named Research.ipynb with local execution on the desktop.\"},{\"question\":\"Where is the dataset obtained and how should the notebook be run?\",\"answer\":\"The fake reviews dataset is downloaded from Kaggle. Students then launch and run Research.ipynb, ensuring the dataset loads correctly and executing all cells using Kernel → Restart \\u0026 Run All.\"}]","Optimizing Machine Learning Models for Real-Time Detection of Fake Product Reviews on E-commerce - Submission and Configuration Manual | PDF",18,{"code":4,"msg":82,"data":99},[100,104,108,112,117,122,126,129,134,137,140],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":101,"show_sort_weight":102,"slug":103},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":105,"show_sort_weight":106,"slug":107},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":109,"show_sort_weight":110,"slug":111},"Exam",70,"exam",{"id":113,"doc_module":4,"doc_module_name":25,"category_name":114,"show_sort_weight":115,"slug":116},5,"Comic",60,"comic",{"id":118,"doc_module":4,"doc_module_name":25,"category_name":119,"show_sort_weight":120,"slug":121},6,"Technology",50,"technology",{"id":92,"doc_module":4,"doc_module_name":25,"category_name":123,"show_sort_weight":124,"slug":125},"Healthcare",40,"healthcare",{"id":86,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":127,"slug":128},30,"research-report",{"id":130,"doc_module":4,"doc_module_name":25,"category_name":131,"show_sort_weight":132,"slug":133},9,"Religion & Spirituality",20,"religion-spirituality",{"id":132,"doc_module":4,"doc_module_name":25,"category_name":135,"show_sort_weight":132,"slug":136},"World Cup","world-cup",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":138,"show_sort_weight":55,"slug":139},"Lifestyle","lifestyle",{"id":141,"doc_module":4,"doc_module_name":25,"category_name":142,"show_sort_weight":113,"slug":143},19,"General","general"]