Topic: "customer-satisfaction-analysis"
CarryChang/Customer_Satisfaction_Analysis
基于在线民宿 UGC 数据的意见挖掘项目，包含数据挖掘和NLP 相关的处理，负责数据采集、主题抽取、情感分析等任务。目的是克服用户打分和评论不一致，实时对在线民宿的满意度评测，包含在线评论采集和情感可视化分析。搭建了百度地图POI查询入口，可以进行自动化的批量查询 POI 信息的功能；构建了基于在线民宿语料的 LDA 自动主题聚类模型，利用主题中心词能找出对应的主题属性字典；以用户打分作为标注，然后 litNlp 自带的字符级 TextCNN 进行情感分析，将情感分类概率分布作为情感趋势，最后通过 POI 热力图的方式对不同地域的民宿满意度进行展示。软件版本请见链接。
Language: Python - Size: 116 MB - Last synced at: 7 days ago - Pushed at: 7 months ago - Stars: 430 - Forks: 126
AllanOtieno254/British-Airways-Review-Dashboard-Using-Tableau
An interactive dashboard built using Tableau, visualizing British Airways customer review data. This project analyzes customer sentiment, satisfaction levels, and other key metrics to provide insights into passenger experiences and identify improvement areas for British Airways.
Size: 1.58 MB - Last synced at: 16 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
ipdechant14/WoW_Customer_Satisfaction
Welcome to the WoW Sentiment Analysis repository! I am Isaac, I have been a long time addict of WoW and I am just getting into developing my own machine learning models with data from API's. I have long been wanting to get into sentiment analysis and I figured it would be a good idea to focus on something I am oh too knowledgeable about, Thanks!
Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
evdimitriou/Predicting-Airline-Passenger-Satisfaction
This project analyzes airline passenger satisfaction using data mining on a dataset of 129,880 customers. It employs Gaussian Naive Bayes and Logistic Regression models, with Logistic Regression slightly outperforming. Key features include travel type and customer loyalty. Evaluation metrics include accuracy and ROC-AUC scores.
Language: Jupyter Notebook - Size: 3.91 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Shailesh-Padhariya/Call-Center-Dashboard
This Power BI dashboard provides an in-depth analysis of call center performance, customer interactions, and sentiment trends. It helps businesses monitor key call metrics, understand customer satisfaction, and optimize support channels.
Size: 2.87 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
nikisetti01/Exploring-Ryanair-Customer-Satisfaction-Dimensions
Application of Latent Dirchlet Allocation, Text mining and classical statistic machine learning techniques to understand the customer satisfaction of different topics using Ryanair Reviews
Language: Jupyter Notebook - Size: 4.24 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
Bmounika4/Bank-Loan-Casestudy
This project aims to leverage EDA techniques to analyze loan application data and identify predictors of loan default. By systematically exploring missing data, outliers, imbalance, and relationships between variables, the analysis aims to uncover insights into default risk.
Size: 16.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
varundixit4/Airline-Passenger-Satisfaction-Report
This repository contains a PowerBI dashboard to analyze an airline satisfaction survey.
Size: 9.48 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Jimoh1993/Data-Science-Customer-Satisfaction-Project
Build a statistical model based customer satisfaction dataset from Qualtrics survey
Language: R - Size: 20.5 KB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
