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Twitter API

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.

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Rating Not enough ratings
Length 2 weeks
Effort 1 hour
Starts Jul 17 (44 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Abhishek Jha
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Business Strategy

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Rating Not enough ratings
Length 2 weeks
Effort 1 hour
Starts Jul 17 (44 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Abhishek Jha
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Business Strategy

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