[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-122710-en":3,"doc-seo-122710-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},122710,34359740700684,"Finn","https://ap-avatar.wpscdn.com/avatar/1f400023980c374ae676?_k=1777273430885731487",8,"Research & Report","Performance Evolution for Sentiment Classification Using Machine Learning Algorithm","Machine Learning (ML) and Natural Language Processing (NLP) are widely used for sentiment analysis and information retrieval, leveraging models that adapt based on prior data. This study evaluates machine learning methods for sentiment classification and information retrieval by combining multiple algorithms with a K-Means clustering approach. Experiments use an amazon unlocked mobile reviews dataset and telecom tweets, with user ratings and clustering-based pipelines. K-Means with Logistic Regression achieves 99.98% accuracy, K-Means with Random Forest 99.906%, and K-Means with Decision Tree 99.83%, demonstrating reliable, high-performance outcomes for practical classification tasks.","Journal of Applied Research in Technology & Engineering  \n4(2): 97-110 , 2023  \n[https://doi.org/10.4995/jarte.2023.19306](https://doi.org/10.4995/jarte.2023.19306)  \nReceived: February 24, 2023; Accepted: May 15, 2023; Published: July 31, 2023  \nPERFORMANCE EVOLUTION FOR SENTIMENT CLASSIFICATION USING  \nMACHINE LEARNING ALGORITHM  \nFaisal Hassan a, Naseem Afzal Qureshi b, Muhammad Zohaib Khan c, Muhammad Ali Khand, Abdul Salam Soomro e, Aisha Imroz f, Hussain Bux Marri g  \na Department of Mathematics, Faculty of Science, University of Karachi, Karachi, Sindh, Pakistan. b Department of Computer Science, Faculty of Science, University of Karachi, Karachi, Sindh, Pakistan. c Software and Data Engineer, Shaheed Mohtarma Benazir Bhutto Institute of Trauma, Karachi, Sindh, Pakistan. d Professor (Assistant), Industrial Engineering and Management, Mehran UET, Jamshoro, Sindh, Pakistan. e Professor & Chairman, Industrial Engineering and Management, Mehran UET, Jamshoro, Sindh, Pakistan.  \nf Software Engineer, Avanza Solutions (Pvt. ) Ltd, Karachi, Sindh, Pakistan.  \ng Professor (Meritorious) & Dean Faculty of Engineering Technology, BBSUTSD, Khairpur Mirs, Sindh, Pakistan.  \n[a](a hassssanfaisal@gmail.com)[ hassssanfaisal@gmail.com](a hassssanfaisal@gmail.com), [b](b qureshinaseemafzal@gmail.com)[ qureshinaseemafzal@gmail.com](b qureshinaseemafzal@gmail.com), [c](c zohaibkhanpk2017@gmail.com)[ zohaibkhanpk2017@gmail.com](c zohaibkhanpk2017@gmail.com),  \n[d](dmuhammad.nagar@faculty.muet.edu.pk)[muhammad.nagar@faculty.muet.edu.pk](dmuhammad.nagar@faculty.muet.edu.pk), [e](e abdul.soomro@faculty.muet.edu.pk)[ abdul.soomro@faculty.muet.edu.pk](e abdul.soomro@faculty.muet.edu.pk), [f](faishaimrozpk@gmail.com)[aishaimrozpk@gmail.com](faishaimrozpk@gmail.com),  \n[g](g hussainbux@bbsutsd.edu.pk)[ hussainbux@bbsutsd.edu.pk](g hussainbux@bbsutsd.edu.pk)  \nAbstract:  \nMachine Learning (ML) is an Artificial Intelligence (AI) approach that allows systems to adapt to their environment based on past experiences. Machine Learning (ML) and Natural Language Processing (NLP) techniques are commonly used in sentiment analysis and Information Retrieval Techniques (IRT) . This study supports the use of ML approaches, such as K-Means, to produce accurate outcomes in clustering and classification approaches. The main objective of this research is to explore the methods for sentiment classification and Information Retrieval Techniques (IRT) . So, a combination of different machine learning algorithms is used with a dataset from amazon unlocked mobile reviews and telecom tweets to achieve better accuracy as it is crucial to consider the previous predictions related to sentiment classification and IRT. The datasets consist of user reviews ratings and algorithms utilized consist of K-Means Clustering algorithm, Logistic Regression (LR), Random Forest (RF), and Decision Tree (DT) algorithms. The amalgamation of each algorithm with the K-Means resulted in high levels of accuracy. Specifically, the K-Means combined with Logistic Regression (LR) yielded an accuracy rate of 99.98% . Similarly, the K-Means integrated with Random Forest (RF) resulted in an accuracy of 99.906% . Lastly, when the K-Means was merged with the Decision Tree (DT) Algorithm, the accuracy obtained was 99.83% .We exhibited that we could foresee efficient, effective, and accurate outcomes.  \nKeywords: machine learning; k-means; logistic regression; random forest; decision tree algorithms.  \nCite as: Hassan, F. , Qureshi, N.A. , Khan, M.Z. , Khan, M.A. , Soomro, A.S. , Imroz, A. , Marri, H. B. (2023) . Performance evolution for sentiment classification using machine learning algorithm. J Appl Res Eng Technol & Engineering, 4(2), 97-110. [https://doi.org/10.4995/jarte.2023.19306](https://doi.org/10.4995/jarte.2023.19306)  \n1. Introduction  \nAn artificial model is fundamentally dependent on software programs that can acquire, understand, and decide concerning facts. Instead of simply obeying a coll","cbCaipMKS5mcajLR","https://ap.wps.com/l/cbCaipMKS5mcajLR","pdf",1257820,1,14,"English","en",105,"# Abstract\n# Keywords\n# Introduction","[{\"question\":\"What problem does the research address?\",\"answer\":\"The research focuses on sentiment classification and related information retrieval techniques using machine learning approaches.\"},{\"question\":\"Which datasets are used in the experiments?\",\"answer\":\"It uses an amazon unlocked mobile reviews dataset and telecom tweets, including user review ratings.\"},{\"question\":\"How is classification performance evaluated and what are the reported accuracies?\",\"answer\":\"K-Means is combined with Logistic Regression, Random Forest, and Decision Tree, achieving 99.98%, 99.906%, and 99.83% accuracy respectively.\"}]","Performance Evolution for Sentiment Classification Using Machine Learning Algorithm | PDF",1785812449,35,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"performance-evolution-for-sentiment-classification-using-machine-learning-algorithm","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/performance-evolution-for-sentiment-classification-using-machine-learning-algorithm/122710/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What problem does the research address?","Question",{"text":75,"@type":76},"The research focuses on sentiment classification and related information retrieval techniques using machine learning approaches.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which datasets are used in the experiments?",{"text":80,"@type":76},"It uses an amazon unlocked mobile reviews dataset and telecom tweets, including user review ratings.",{"name":82,"@type":73,"acceptedAnswer":83},"How is classification performance evaluated and what are the reported accuracies?",{"text":84,"@type":76},"K-Means is combined with Logistic Regression, Random Forest, and Decision Tree, achieving 99.98%, 99.906%, and 99.83% accuracy respectively.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]