竞争者分析器:一个更新用户关于商业竞争对手及其策略的系统

Nouman M. Durrani, Farhan Qasim Zaur, Uzair Alam, Qasim Usmani, Raiha Khan, Nadeem Kafi Khan
{"title":"竞争者分析器:一个更新用户关于商业竞争对手及其策略的系统","authors":"Nouman M. Durrani, Farhan Qasim Zaur, Uzair Alam, Qasim Usmani, Raiha Khan, Nadeem Kafi Khan","doi":"10.1109/ICEEST48626.2019.8981712","DOIUrl":null,"url":null,"abstract":"Organizations are generating diverse data regarding their promotion. Finding the right product competitors and their promotions on different social platforms in a target region are difficult and time-consuming. Hence, a social media analysis and reporting system is required that can provide a business intelligence solution to keep an eye on your competing business organizations and give benefit from their marketing strategies in a proactive manner. The system enables us to find a potential list of competitors based on the product and collect their data from different social media websites (Facebook, Twitter, Google+). The aim of this system is to perform an analysis on the data collected via all the sources; report it directly, perform sentimental analysis of the posts and then classify the posts into three main categories i.e. Marketing, Customer attention and Sales and Promotion through supervised machine learning. The results obtained after the classification are represented and visualized on the advanced dashboard. The purpose of this system is to provide aid in the decision making of our client. The significance of this system is that it will cause an improvement for organizations in a state of competition, it would unleash new innovative ideas keeping in view the latest market trends which would cause prevention of releasing unnecessary or outdated products and a foresight of coming up with better and improved ideas for marketing.","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Competitor Analyzer: a system that updates users about business rival groups and their strategies\",\"authors\":\"Nouman M. Durrani, Farhan Qasim Zaur, Uzair Alam, Qasim Usmani, Raiha Khan, Nadeem Kafi Khan\",\"doi\":\"10.1109/ICEEST48626.2019.8981712\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Organizations are generating diverse data regarding their promotion. Finding the right product competitors and their promotions on different social platforms in a target region are difficult and time-consuming. Hence, a social media analysis and reporting system is required that can provide a business intelligence solution to keep an eye on your competing business organizations and give benefit from their marketing strategies in a proactive manner. The system enables us to find a potential list of competitors based on the product and collect their data from different social media websites (Facebook, Twitter, Google+). The aim of this system is to perform an analysis on the data collected via all the sources; report it directly, perform sentimental analysis of the posts and then classify the posts into three main categories i.e. Marketing, Customer attention and Sales and Promotion through supervised machine learning. The results obtained after the classification are represented and visualized on the advanced dashboard. The purpose of this system is to provide aid in the decision making of our client. The significance of this system is that it will cause an improvement for organizations in a state of competition, it would unleash new innovative ideas keeping in view the latest market trends which would cause prevention of releasing unnecessary or outdated products and a foresight of coming up with better and improved ideas for marketing.\",\"PeriodicalId\":201513,\"journal\":{\"name\":\"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEST48626.2019.8981712\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEST48626.2019.8981712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

组织正在生成有关其促销的各种数据。在目标地区找到合适的产品竞争对手,并在不同的社交平台上进行推广,这既困难又耗时。因此,需要一个社会媒体分析和报告系统,它可以提供商业智能解决方案,以密切关注竞争对手的商业组织,并以积极主动的方式从他们的营销策略中获益。该系统使我们能够找到基于产品的竞争对手的潜在列表,并从不同的社交媒体网站(Facebook, Twitter, Google+)收集他们的数据。该系统的目的是对通过所有来源收集的数据进行分析;直接报告,对帖子进行情感分析,然后通过监督机器学习将帖子分为三个主要类别,即营销,客户关注和销售和促销。分类后得到的结果在高级仪表板上表示和可视化。该系统的目的是为客户的决策提供帮助。该系统的意义在于,它将使处于竞争状态的组织得到改进,它将释放新的创新思想,保持最新的市场趋势,从而防止发布不必要的或过时的产品,并预见到更好的和改进的营销理念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Competitor Analyzer: a system that updates users about business rival groups and their strategies
Organizations are generating diverse data regarding their promotion. Finding the right product competitors and their promotions on different social platforms in a target region are difficult and time-consuming. Hence, a social media analysis and reporting system is required that can provide a business intelligence solution to keep an eye on your competing business organizations and give benefit from their marketing strategies in a proactive manner. The system enables us to find a potential list of competitors based on the product and collect their data from different social media websites (Facebook, Twitter, Google+). The aim of this system is to perform an analysis on the data collected via all the sources; report it directly, perform sentimental analysis of the posts and then classify the posts into three main categories i.e. Marketing, Customer attention and Sales and Promotion through supervised machine learning. The results obtained after the classification are represented and visualized on the advanced dashboard. The purpose of this system is to provide aid in the decision making of our client. The significance of this system is that it will cause an improvement for organizations in a state of competition, it would unleash new innovative ideas keeping in view the latest market trends which would cause prevention of releasing unnecessary or outdated products and a foresight of coming up with better and improved ideas for marketing.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信