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Restaurant's Feedback Analysis System using Sentimental Analysis and Data Minining Techniques

机译:运用情感分析和数据挖掘技术的饭店反馈分析系统

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There are many challenges faced by restaurants of which getting honest feedbacks of the services have been a huge challenge but it is equally very important to remain on the top of the current market. The current trend and fact are; people express their honest sentiments through social media. Hence, through this paper, we present a methodology that will quell this challenge by performing sentimental analysis on the feedbacks and determine their polarity. Followed by clustering on the positive and negative feedbacks obtained from the previous process, to identify the broad topics of that organization that the feedbacks target. This summarization helps the restaurants to improve their current processes based on the feedback received. The feedbacks are collected from different sources to suffice the needs.
机译:餐馆面临着许多挑战,要获得诚实的服务反馈一直是一个巨大的挑战,但保持在当前市场的领先地位也同样非常重要。当前的趋势和事实是;人们通过社交媒体表达其诚实的情感。因此,通过本文,我们提出了一种通过对反馈进行情感分析并确定其极性来解决这一挑战的方法。然后,根据从上一过程获得的正面和负面反馈进行聚类,以确定反馈所针对的组织的广泛主题。此摘要可帮助餐馆根据收到的反馈改善其当前流程。反馈是从不同的来源收集来满足需求的。

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