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Abhishek Jha
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/nusfsv/twitter
What's inside
Syllabus
Project Overview
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 WordCloud and Document maps to visualize tweets. In the final tasks, we will perform sentiment analysis and explore the emotions behind each tweet using the Tweet profiler widget.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Appropriate for non-programmers who want to mine Twitter data for marketing or corporate purposes
Covers both text visualization and sentiment analysis
Utilizes industry-standard software (Orange) for data mining and analysis
Instructor Abhishek Jha is experienced in data analysis
Save this course
Save Twitter API: Mining Data using Orange Data Mining Platform to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Twitter API: Mining Data using Orange Data Mining Platform with these
activities:
Brush up on your Twitter API skills
Show steps
Quickly review the Twitter API to ensure you can use it effectively throughout this course.
Browse courses on
Twitter API
Show steps
-
Visit the Twitter Developer website and read the documentation.
-
Create a Twitter developer account.
-
Apply for elevated access.
-
Create an app within the Twitter developer portal.
-
Get your API keys.
Attend a workshop or meetup on Twitter mining
Show steps
Connect with other professionals who are also interested in Twitter mining by attending a workshop or meetup.
Browse courses on
Data Mining
Show steps
-
Find a workshop or meetup in your area.
-
Register for the event.
-
Attend the event.
-
Meet other professionals.
-
Share your knowledge and learn from others.
Practice mining tweets using Orange
Show steps
Complete several practice exercises to strengthen your skills in mining tweets with Orange.
Show steps
-
Install Orange on your computer.
-
Import a dataset of tweets into Orange.
-
Create a Word Cloud visualization.
-
Create a Heat Map visualization.
-
Create a Document Map visualization.
-
Perform sentiment analysis on the tweets.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow a tutorial on using Orange for sentiment analysis
Show steps
Enhance your understanding of sentiment analysis using Orange by following a guided tutorial.
Show steps
-
Find a tutorial on using Orange for sentiment analysis.
-
Follow the steps in the tutorial.
-
Experiment with the different features of Orange.
-
Apply what you have learned to your own Twitter mining project.
Create a blog post or article about your experience using Orange for Twitter mining
Show steps
Share your knowledge of using Orange for Twitter mining with others by writing a blog post or article.
Show steps
-
Choose a topic that you are interested in.
-
Research your topic.
-
Write your blog post or article.
-
Publish your blog post or article.
-
Promote your blog post or article.
Take a quiz or exam to test your knowledge of Twitter mining concepts
Show steps
Assess your understanding of Twitter mining concepts by taking a quiz or exam.
Browse courses on
Data Mining
Show steps
-
Find a quiz or exam on Twitter mining.
-
Take the quiz or exam.
-
Review your results.
-
Identify areas where you need to improve your knowledge.
Create a data visualization dashboard that provides insights into the tweets you mined
Show steps
Create a data visualization dashboard to present the insights you gained from mining tweets.
Browse courses on
Data Visualization
Show steps
-
Choose a data visualization tool.
-
Import your data into the tool.
-
Create visualizations that represent your insights.
-
Design a dashboard that presents your visualizations.
-
Publish your dashboard.
Brush up on your Twitter API skills
Show steps
Quickly review the Twitter API to ensure you can use it effectively throughout this course.
Browse courses on
Twitter API
Show steps
Show steps
Show steps
- Visit the Twitter Developer website and read the documentation.
- Create a Twitter developer account.
- Apply for elevated access.
- Create an app within the Twitter developer portal.
- Get your API keys.
Attend a workshop or meetup on Twitter mining
Show steps
Connect with other professionals who are also interested in Twitter mining by attending a workshop or meetup.
Browse courses on
Data Mining
Show steps
Show steps
Show steps
- Find a workshop or meetup in your area.
- Register for the event.
- Attend the event.
- Meet other professionals.
- Share your knowledge and learn from others.
Practice mining tweets using Orange
Show steps
Complete several practice exercises to strengthen your skills in mining tweets with Orange.
Show steps
Show steps
Show steps
- Install Orange on your computer.
- Import a dataset of tweets into Orange.
- Create a Word Cloud visualization.
- Create a Heat Map visualization.
- Create a Document Map visualization.
- Perform sentiment analysis on the tweets.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow a tutorial on using Orange for sentiment analysis
Show steps
Enhance your understanding of sentiment analysis using Orange by following a guided tutorial.
Show steps
Show steps
Show steps
- Find a tutorial on using Orange for sentiment analysis.
- Follow the steps in the tutorial.
- Experiment with the different features of Orange.
- Apply what you have learned to your own Twitter mining project.
Create a blog post or article about your experience using Orange for Twitter mining
Show steps
Share your knowledge of using Orange for Twitter mining with others by writing a blog post or article.
Show steps
Show steps
Show steps
- Choose a topic that you are interested in.
- Research your topic.
- Write your blog post or article.
- Publish your blog post or article.
- Promote your blog post or article.
Take a quiz or exam to test your knowledge of Twitter mining concepts
Show steps
Assess your understanding of Twitter mining concepts by taking a quiz or exam.
Browse courses on
Data Mining
Show steps
Show steps
Show steps
- Find a quiz or exam on Twitter mining.
- Take the quiz or exam.
- Review your results.
- Identify areas where you need to improve your knowledge.
Create a data visualization dashboard that provides insights into the tweets you mined
Show steps
Create a data visualization dashboard to present the insights you gained from mining tweets.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a data visualization tool.
- Import your data into the tool.
- Create visualizations that represent your insights.
- Design a dashboard that presents your visualizations.
- Publish your dashboard.
Career center
Learners who complete Twitter API: Mining Data using Orange Data Mining Platform will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. This course can help someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of data for data scientists. This course also provides an introduction to sentiment analysis, which is a valuable skill for Data Scientists who want to understand the sentiment of customers towards a particular product or service.
Market Research Analyst
Market Research Analyst
A Market Research Analyst collects and analyzes data to help businesses understand their customers and make informed decisions. This course can help someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of market research data. This course also provides an introduction to sentiment analysis, which is a valuable skill for Market Research Analysts who want to understand the sentiment of customers towards a particular product or service.
Statistician
Statistician
A Statistician collects and analyzes data to draw conclusions about a population. This course can help someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of data for statisticians. This course also provides an introduction to sentiment analysis, which is a valuable skill for Statisticians who want to understand the sentiment of customers towards a particular product or service.
Product Manager
Product Manager
A Product Manager develops and manages products for businesses. This course can help someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of customer feedback. This course also provides an introduction to sentiment analysis, which is a valuable skill for Product Managers who want to understand the sentiment of customers towards their products.
Public Health Analyst
Public Health Analyst
A Public Health Analyst collects and analyzes data to help governments and organizations make informed decisions about public health. This course can help someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of data for public health analysts. This course also provides an introduction to sentiment analysis, which is a valuable skill for Public Health Analysts who want to understand the sentiment of people towards a particular public health issue.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models for businesses. This course can help someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of data for machine learning engineers. This course also provides an introduction to sentiment analysis, which is a valuable skill for Machine Learning Engineers who want to understand the sentiment of customers towards a particular product or service.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and data to help businesses make informed decisions. This course can help someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of data for business analysts. This course also provides an introduction to sentiment analysis, which is a valuable skill for Business Analysts who want to understand the sentiment of customers towards a particular product or service.
Social Media Manager
Social Media Manager
A Social Media Manager develops and executes social media strategies for businesses. This course can help someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable platform for social media marketers. This course also provides an introduction to sentiment analysis, which is a valuable skill for Social Media Managers who want to track the success of their campaigns.
Digital Marketing Manager
Digital Marketing Manager
A Digital Marketing Manager plans and executes digital marketing campaigns for businesses. This course can help someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable platform for digital marketers. This course also provides an introduction to sentiment analysis, which is a valuable skill for Digital Marketing Managers who want to track the success of their campaigns.
Data Analyst
Data Analyst
A Data Analyst collects, processes, and analyzes data to help businesses make informed decisions. This course can help someone entering this career field by providing them with the skills needed to collect data from Twitter, analyze it, and visualize it. This course also provides an introduction to sentiment analysis, which is a valuable skill for Data Analysts who want to work with social media data.
Data Engineer
Data Engineer
A Data Engineer builds and maintains data systems for businesses. This course can help someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of data for data engineers. This course also provides an introduction to sentiment analysis, which is a valuable skill for Data Engineers who want to understand the sentiment of customers towards a particular product or service.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical techniques to analyze data and make predictions. This course can help someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of data for quantitative analysts. This course also provides an introduction to sentiment analysis, which is a valuable skill for Quantitative Analysts who want to understand the sentiment of customers towards a particular product or service.
Health Policy Analyst
Health Policy Analyst
A Health Policy Analyst analyzes health policies and their impact on the population. This course may be useful for someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of data for health policy analysts. This course also provides an introduction to sentiment analysis, which is a valuable skill for Health Policy Analysts who want to understand the sentiment of people towards a particular health policy.
Epidemiologist
Epidemiologist
An Epidemiologist studies the distribution and patterns of health events and diseases in a population. This course may be useful for someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of data for epidemiologists. This course also provides an introduction to sentiment analysis, which is a valuable skill for Epidemiologists who want to understand the sentiment of people towards a particular health issue.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and deploys software applications for businesses. This course may be useful for someone entering this career field by providing them with the skills needed to collect and analyze data from Twitter, which is a valuable source of data for software engineers. This course also provides an introduction to sentiment analysis, which is a valuable skill for Software Engineers who want to understand the sentiment of customers towards their products.
For more career information including salaries, visit:
OpenCourser.com/course/nusfsv/twitter
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Twitter API: Mining Data using Orange Data Mining Platform.
An in-depth and comprehensive guide to mining the social web, covering techniques and algorithms for extracting and analyzing data from social media platforms.
Save
A comprehensive guide to Twitter data analysis, covering data collection, analysis, and visualization techniques.
A comprehensive guide to natural language processing (NLP) using Python, covering fundamental concepts, algorithms, and applications.
A comprehensive guide to machine learning for data science, covering fundamental concepts, algorithms, and applications.
A practical guide to data mining for business analytics, with a focus on methods for data collection, analysis, and visualization.
A philosophical exploration of the ethical implications of artificial intelligence, covering topics such as autonomy, responsibility, and privacy.
Save
A speculative exploration of the future of social media, covering potential trends and challenges.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nusfsv/twitter
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Abhishek Jha
Language
English
Good to know
Appropriate for non-programmers who want to mine Twitter data for marketing or corporate purposes
Covers both text visualization and sentiment analysis
Utilizes industry-standard software (Orange) for data mining and analysis
Instructor Abhishek Jha is experienced in data analysis
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