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Building a unique NLP project
1984 book vs 1984 album
Emmanuel Acheampong
Emmanuel Acheampong
Welcome to the “Building a unique NLP project: 1984 book vs 1984 album” guided project.
Read more
Welcome to the “Building a unique NLP project: 1984 book vs 1984 album” guided project.
Read more
Welcome to the “Building a unique NLP project: 1984 book vs 1984 album” guided project.
This project is for anyone interested in exploring fun and interactive Natural Language Processing (NLP) projects. Inspired by the cultural phenomenon, Versus, in this project we’re going to be leveraging the NLP to compare 1984, the dystopian social science fiction novel by the English novelist George Orwell and 1984, the sixth studio album by American rock band Van Halen.
In this project, we’ll explore the NLP techniques of:
1. summarizing text
2. sentiment analysis
3. word clouds.
At the end of this project, learners will be able to demonstrate a beginner's understanding of building NLP projects.
Register for this course and see more details by visiting:
OpenCourser.com/course/p01zld/building
What's inside
Syllabus
Project Overview
Here you will describe what the project is about...give an overview of what the learner will achieve by completing this project.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches techniques that are foundational for anyone with aspirations to work in NLP
Develops important NLP skills, such as text summarizing, sentiment analysis, and word cloud creation
Uses a unique and intriguing approach in comparing a song album to a novel
Takes a project-based approach, which ensures that students can get hands-on experience with NLP
Suitable for beginners because it provides a comprehensive introduction to NLP techniques, such as text summarizing and sentiment analysis
Is instructed by Emmanuel Acheampong, an experienced NLP instructor
Save this course
Save Building a unique NLP project: 1984 book vs 1984 album 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 Building a unique NLP project: 1984 book vs 1984 album with these
activities:
Read the book '1984' by George Orwell
Show steps
Build a strong foundation for the course by reading the novel '1984' that is a central focus
View
Nineteen Eighty-Four. The Graphic Novel
on Amazon
Show steps
-
Obtain a copy of the book (either physical or digital)
-
Set aside dedicated time each day for reading
-
Take notes and highlight key passages as you read
-
Reflect on the themes and ideas presented in the book
Follow a tutorial on building a word cloud using Python
Show steps
Enhance your NLP skills by following a tutorial to create word clouds, which can provide insights into the content of the '1984' book
Browse courses on
Word Clouds
Show steps
-
Find a suitable tutorial on building word clouds with Python
-
Set up your Python environment
-
Follow the tutorial step-by-step to create a word cloud
Practice summarizing text using the book '1984'
Show steps
Develop practical skills in text summarization by applying techniques to the '1984' novel
Browse courses on
Text Summarization
Show steps
-
Select a chapter or passage from the book
-
Read and understand the selected text
-
Identify the main ideas and key points
-
Condense the information into a concise summary
-
Compare your summary with the original text for accuracy
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a blog post comparing the themes of 1984 (the book) and 1984 (the album)
Show steps
Create a blog post to synthesize your understanding of the themes and concepts explored in both the book and album titled '1984'
Show steps
-
Choose a specific theme or concept to focus on
-
Analyze the book and album for evidence and examples related to your chosen theme
-
Organize your thoughts and evidence into a coherent outline
-
Write a draft of your blog post, including an introduction, body paragraphs, and conclusion
-
Revise and edit your blog post for clarity and impact
Develop a data visualization to compare the sentiment analysis of the book and album '1984'
Show steps
Demonstrate your ability to apply NLP techniques by creating a data visualization that compares the sentiment of the '1984' book and album
Browse courses on
Sentiment Analysis
Show steps
-
Collect the text data from the book and album
-
Perform sentiment analysis on the collected text
-
Choose an appropriate data visualization tool
-
Design and create a data visualization that compares the sentiment of the two sources
Start a project to build a chatbot that can generate text in the style of '1984'
Show steps
Challenge yourself with a project that involves building a chatbot that can generate text mimicking the style and themes of '1984'
Browse courses on
Chatbots
Show steps
-
Gather a dataset of text from the '1984' book
-
Train a language model on the collected dataset
-
Design and develop a chatbot interface
-
Integrate the trained language model into the chatbot
Contribute to an open-source NLP library
Show steps
Gain practical experience in NLP by contributing to an open-source library, deepening your understanding and giving back to the community
Browse courses on
Open Source
Show steps
-
Find a suitable open-source NLP library
-
Identify an area where you can contribute
-
Fork the library and make your changes
-
Submit a pull request with your proposed changes
Read the book '1984' by George Orwell
Show steps
Build a strong foundation for the course by reading the novel '1984' that is a central focus
View
Nineteen Eighty-Four. The Graphic Novel
on Amazon
Show steps
Show steps
Show steps
- Obtain a copy of the book (either physical or digital)
- Set aside dedicated time each day for reading
- Take notes and highlight key passages as you read
- Reflect on the themes and ideas presented in the book
Follow a tutorial on building a word cloud using Python
Show steps
Enhance your NLP skills by following a tutorial to create word clouds, which can provide insights into the content of the '1984' book
Browse courses on
Word Clouds
Show steps
Show steps
Show steps
- Find a suitable tutorial on building word clouds with Python
- Set up your Python environment
- Follow the tutorial step-by-step to create a word cloud
Practice summarizing text using the book '1984'
Show steps
Develop practical skills in text summarization by applying techniques to the '1984' novel
Browse courses on
Text Summarization
Show steps
Show steps
Show steps
- Select a chapter or passage from the book
- Read and understand the selected text
- Identify the main ideas and key points
- Condense the information into a concise summary
- Compare your summary with the original text for accuracy
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a blog post comparing the themes of 1984 (the book) and 1984 (the album)
Show steps
Create a blog post to synthesize your understanding of the themes and concepts explored in both the book and album titled '1984'
Show steps
Show steps
Show steps
- Choose a specific theme or concept to focus on
- Analyze the book and album for evidence and examples related to your chosen theme
- Organize your thoughts and evidence into a coherent outline
- Write a draft of your blog post, including an introduction, body paragraphs, and conclusion
- Revise and edit your blog post for clarity and impact
Develop a data visualization to compare the sentiment analysis of the book and album '1984'
Show steps
Demonstrate your ability to apply NLP techniques by creating a data visualization that compares the sentiment of the '1984' book and album
Browse courses on
Sentiment Analysis
Show steps
Show steps
Show steps
- Collect the text data from the book and album
- Perform sentiment analysis on the collected text
- Choose an appropriate data visualization tool
- Design and create a data visualization that compares the sentiment of the two sources
Start a project to build a chatbot that can generate text in the style of '1984'
Show steps
Challenge yourself with a project that involves building a chatbot that can generate text mimicking the style and themes of '1984'
Browse courses on
Chatbots
Show steps
Show steps
Show steps
- Gather a dataset of text from the '1984' book
- Train a language model on the collected dataset
- Design and develop a chatbot interface
- Integrate the trained language model into the chatbot
Contribute to an open-source NLP library
Show steps
Gain practical experience in NLP by contributing to an open-source library, deepening your understanding and giving back to the community
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Find a suitable open-source NLP library
- Identify an area where you can contribute
- Fork the library and make your changes
- Submit a pull request with your proposed changes
Career center
Learners who complete Building a unique NLP project: 1984 book vs 1984 album will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Engineer
Natural Language Processing Engineer
NLP Engineers develop and maintain NLP systems. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds. These are all key skills for an NLP Engineer to have.
Computational Linguist
Computational Linguist
Computational Linguists use NLP to build computer systems that can understand human language. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds. These are all fundamental skills for Computational Linguists to master.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use ML to train computers to perform tasks. NLP is a branch of ML that focuses on teaching computers to understand human language. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all useful skills for an ML Engineer who wants to work with NLP.
Data Scientist
Data Scientist
Data Scientists use data to solve problems. NLP can be used to gain insights from data, such as by identifying trends or classifying documents. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all useful skills for a Data Scientist who wants to use NLP in their work.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze financial data. NLP can be used to analyze unstructured data, such as news articles and social media posts, which can be useful for making investment decisions. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all skills that can be useful for a Quantitative Analyst who wants to use NLP in their work.
Business Analyst
Business Analyst
Business Analysts help businesses identify and solve problems. NLP can be used to analyze customer feedback, market research, and other types of data to help businesses understand their customers and improve their products and services. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all skills that can be useful for a Business Analyst who wants to use NLP in their work.
Content Strategist
Content Strategist
Content Strategists plan and create content for websites, social media, and other platforms. NLP can be used to analyze data such as search engine results and customer feedback to help Content Strategists understand what content users want and how to create it. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all skills that can be useful for a Content Strategist who wants to use NLP in their work.
Marketing Analyst
Marketing Analyst
Marketing Analysts help businesses understand their customers and develop marketing campaigns. NLP can be used to analyze data such as customer surveys, social media posts, and website traffic to help businesses understand what customers want and how to reach them. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all skills that can be useful for a Marketing Analyst who wants to use NLP in their work.
Technical Writer
Technical Writer
Technical Writers create documentation for software, hardware, and other products. NLP can be used to analyze customer feedback and other data to help Technical Writers understand what users want and how to write documentation that is clear and easy to understand. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all skills that can be useful for a Technical Writer who wants to use NLP in their work.
Software Engineer
Software Engineer
Software Engineers design and develop software systems. NLP is used in a variety of software applications, including search engines, chatbots, and spam filters. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all skills that can be useful for a Software Engineer who wants to work on NLP projects.
User Experience Researcher
User Experience Researcher
User Experience Researchers study how users interact with products and services. NLP can be used to analyze user feedback and other data to help researchers understand what users want and how to improve the user experience. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all skills that can be useful for a User Experience Researcher who wants to use NLP in their work.
Instructional Designer
Instructional Designer
Instructional Designers create and deliver training materials. NLP can be used to analyze student feedback and other data to help Instructional Designers understand what students need and how to create training materials that are effective and engaging. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all skills that can be useful for an Instructional Designer who wants to use NLP in their work.
Product Manager
Product Manager
Product Managers plan and develop products. NLP is used in a variety of products, such as search engines, chatbots, and language translation apps. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all skills that can be useful for a Product Manager who wants to work on NLP products.
Librarian
Librarian
Librarians help people find and access information. NLP can be used to analyze library data such as circulation records and user surveys to help Librarians understand what users want and how to improve the collection and services of the library. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds, which are all skills that can be useful for a Librarian who wants to use NLP in their work.
Data Analyst
Data Analyst
Data Analysts study data using various techniques, including NLP. This course will teach you how to summarize text, perform sentiment analysis, and create word clouds. This course may be useful for a Data Analyst who wants to use these NLP techniques in their work.
For more career information including salaries, visit:
OpenCourser.com/course/p01zld/building
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
Building a unique NLP project: 1984 book vs 1984 album.
This novel by George Orwell provides the foundation for the album '1984' by Van Halen, offering a deep exploration of dystopian themes and societal control. Reading the book enhances the understanding of the album's lyrics and overall concept.
This comprehensive textbook covers a wide range of topics in speech and language processing, including NLP. It provides a thorough foundation for understanding the underlying principles and algorithms used in the course.
Focuses on practical NLP applications, providing hands-on guidance for building real-world NLP systems. It covers various industry use cases and offers practical insights into the implementation of NLP techniques.
Provides a comprehensive overview of statistical learning methods, including those used in NLP. It offers a theoretical foundation for understanding the statistical techniques employed in machine learning for NLP tasks.
Offers an advanced exploration of deep learning techniques for NLP, covering topics such as neural networks, transformer models, and language generation. While not directly related to the specific topics of the course, it provides a broader perspective on advanced NLP concepts.
Provides a theoretical foundation for information theory and machine learning, including topics relevant to NLP. It offers a deeper understanding of the underlying mathematical principles and algorithms used in NLP techniques.
Save
This handbook offers a comprehensive overview of linguistic typology, exploring the diversity of languages and their structures. While not directly related to the specific topics of the course, it provides a broader context for understanding language variation and its implications for NLP.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/p01zld/building
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Effort
1.5 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Emmanuel Acheampong
Language
English
Good to know
Teaches techniques that are foundational for anyone with aspirations to work in NLP
Develops important NLP skills, such as text summarizing, sentiment analysis, and word cloud creation
Uses a unique and intriguing approach in comparing a song album to a novel
Takes a project-based approach, which ensures that students can get hands-on experience with NLP
Suitable for beginners because it provides a comprehensive introduction to NLP techniques, such as text summarizing and sentiment analysis
Is instructed by Emmanuel Acheampong, an experienced NLP instructor
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