{"title":"使用mp -神经元和感知器模型的智能手机喜欢不喜欢分类","authors":"Sagar Rao, M. Gs, Sanjana V Naik","doi":"10.1109/ICAECC50550.2020.9339472","DOIUrl":null,"url":null,"abstract":"With the day-by-day increasing revolutionary advancements in smartphone technologies, the users tend to buy smartphones more often than ever before. From a vast variety of brands and models to choose from, the users also check for opinions and ratings from e-commerce websites before buying one. The primary aim of smartphone like dislike classifier is to classify a smartphone with given specifications into like or dislike. It is an automated approach to identify the people's opinion on smartphones with given specifications of the phone. Real Dataset is obtained from Kaggle. The Smartphone Like Dislike Classifier is developed using the MP-Neuron and Perceptron model-based approaches. It helps manufacturers as well as users to know whether the people would like or dislike the phone even before the launch of a smartphone. We show extensive experimental results demonstrating the efficacy of our approach. Experiment results prove meaningful and useful, not only for end users, but also for the smartphone industries.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smartphone Like Dislike Classification Using MP-Neuron and Perceptron Models\",\"authors\":\"Sagar Rao, M. Gs, Sanjana V Naik\",\"doi\":\"10.1109/ICAECC50550.2020.9339472\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the day-by-day increasing revolutionary advancements in smartphone technologies, the users tend to buy smartphones more often than ever before. From a vast variety of brands and models to choose from, the users also check for opinions and ratings from e-commerce websites before buying one. The primary aim of smartphone like dislike classifier is to classify a smartphone with given specifications into like or dislike. It is an automated approach to identify the people's opinion on smartphones with given specifications of the phone. Real Dataset is obtained from Kaggle. The Smartphone Like Dislike Classifier is developed using the MP-Neuron and Perceptron model-based approaches. It helps manufacturers as well as users to know whether the people would like or dislike the phone even before the launch of a smartphone. We show extensive experimental results demonstrating the efficacy of our approach. Experiment results prove meaningful and useful, not only for end users, but also for the smartphone industries.\",\"PeriodicalId\":196343,\"journal\":{\"name\":\"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAECC50550.2020.9339472\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECC50550.2020.9339472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smartphone Like Dislike Classification Using MP-Neuron and Perceptron Models
With the day-by-day increasing revolutionary advancements in smartphone technologies, the users tend to buy smartphones more often than ever before. From a vast variety of brands and models to choose from, the users also check for opinions and ratings from e-commerce websites before buying one. The primary aim of smartphone like dislike classifier is to classify a smartphone with given specifications into like or dislike. It is an automated approach to identify the people's opinion on smartphones with given specifications of the phone. Real Dataset is obtained from Kaggle. The Smartphone Like Dislike Classifier is developed using the MP-Neuron and Perceptron model-based approaches. It helps manufacturers as well as users to know whether the people would like or dislike the phone even before the launch of a smartphone. We show extensive experimental results demonstrating the efficacy of our approach. Experiment results prove meaningful and useful, not only for end users, but also for the smartphone industries.