Taimoor Hassan, Abrar Ahmed, Mehmood Anwar, Muhammad Basit Ali Gilani, Muaz Ahmad Qureshi
{"title":"社交媒体竞争分析:以笔记本电脑品牌为例","authors":"Taimoor Hassan, Abrar Ahmed, Mehmood Anwar, Muhammad Basit Ali Gilani, Muaz Ahmad Qureshi","doi":"10.1109/iCoMET57998.2023.10099132","DOIUrl":null,"url":null,"abstract":"Most enterprises adopted social media for marketing purposes. Traditional media resources about one decade ago are now a day's costly and less productive than social media. Companies that are using social media like Facebook to provide different services and therefore to interact with customers, users produce a valuable content which is available on Facebook free of cost. To enhance market capitalization, expand value and effectiveness analyze competitor business strengths and value. Businesses must monitor social media sites of their own to see customer's response on their products and their competitor's social media to analyze behavior of customers. To help Enterprises to evaluate social media large amount of user generated content into knowledgeable information, decision making and future planning and targets. In this article case study, we are presenting is based on text mining to analyze content on Facebook in the well know top Five laptop brands named HP, Dell, Microsoft Surface, Toshiba, and Lenovo. The outcome showed the power, analysis of social media and text mining value to enhance business from the data available on social media freely. There are also some suggestions and recommendations to help organizations to plan and develop their strategy for social media to enhance business.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social Media Competitive Analysis: A Case Study of Laptop Brands\",\"authors\":\"Taimoor Hassan, Abrar Ahmed, Mehmood Anwar, Muhammad Basit Ali Gilani, Muaz Ahmad Qureshi\",\"doi\":\"10.1109/iCoMET57998.2023.10099132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most enterprises adopted social media for marketing purposes. Traditional media resources about one decade ago are now a day's costly and less productive than social media. Companies that are using social media like Facebook to provide different services and therefore to interact with customers, users produce a valuable content which is available on Facebook free of cost. To enhance market capitalization, expand value and effectiveness analyze competitor business strengths and value. Businesses must monitor social media sites of their own to see customer's response on their products and their competitor's social media to analyze behavior of customers. To help Enterprises to evaluate social media large amount of user generated content into knowledgeable information, decision making and future planning and targets. In this article case study, we are presenting is based on text mining to analyze content on Facebook in the well know top Five laptop brands named HP, Dell, Microsoft Surface, Toshiba, and Lenovo. The outcome showed the power, analysis of social media and text mining value to enhance business from the data available on social media freely. There are also some suggestions and recommendations to help organizations to plan and develop their strategy for social media to enhance business.\",\"PeriodicalId\":369792,\"journal\":{\"name\":\"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)\",\"volume\":\"214 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iCoMET57998.2023.10099132\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iCoMET57998.2023.10099132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Social Media Competitive Analysis: A Case Study of Laptop Brands
Most enterprises adopted social media for marketing purposes. Traditional media resources about one decade ago are now a day's costly and less productive than social media. Companies that are using social media like Facebook to provide different services and therefore to interact with customers, users produce a valuable content which is available on Facebook free of cost. To enhance market capitalization, expand value and effectiveness analyze competitor business strengths and value. Businesses must monitor social media sites of their own to see customer's response on their products and their competitor's social media to analyze behavior of customers. To help Enterprises to evaluate social media large amount of user generated content into knowledgeable information, decision making and future planning and targets. In this article case study, we are presenting is based on text mining to analyze content on Facebook in the well know top Five laptop brands named HP, Dell, Microsoft Surface, Toshiba, and Lenovo. The outcome showed the power, analysis of social media and text mining value to enhance business from the data available on social media freely. There are also some suggestions and recommendations to help organizations to plan and develop their strategy for social media to enhance business.