In this one hour long project, you will mine, analyze and visualize various trending tweets using Word Cloud, Heat map, Document Map and perform sentiment analysis using Orange. Orange is an open-source data visualization, machine learning and data mining toolkit. Without any prior programming experience, Orange allows you to mine Twitter. If you are a corporate employee, marketer, or even a student who wants to explore how to mine tweets, Orange is the best platform for it. We will begin this guided project by creating a Twitter developer account and applying for elevated access. We will create an app within the Twitter developer portal and get its API keys and then use these API keys to connect to Orange data mining software. We will fetch tweets about trending topics and create a Word-cloud for text visualization and Documents map to get Geo-location data about trending tweets. In the final tasks, we will perform sentiment analysis and explore the emotions behind each tweet using the Tweet Profiler widget. We will also create a Heat-map to understand the overall sentiment of a trending topic. In order to complete this project successfully, you need a Twitter account.
twitter developer portal
orange data mining software
Data Visualization (DataViz)
작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.
작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.
분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.