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Ryan Ahmed
In this hands-on project, we will predict customer sentiment using natural language processing techniques.
Read more
In this hands-on project, we will predict customer sentiment using natural language processing techniques.
Read more
In this hands-on project, we will predict customer sentiment using natural language processing techniques.
In this project, we will build a machine learning model to analyze thousands of amazon echo reviews to predict customers sentiment. Artificial Intelligence and Machine Learning (AI/ML)-based sentiment analysis is crucial for companies to automatically predict whether their customers are happy or not. This project is practical and directly applicable to any company with that has online presence. The algorithm could be used automatically detect customers sentiment.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/1bsda3/amazon
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What's inside
Syllabus
Project Overview
In this hands-on project, we will train a Naive Bayes classifier model to perform reviews sentiment analysis. Natural language processing (NLP) works by converting words (text) into numbers, these numbers are then used to train an AI/ML model to make predictions. In this project, we will build a machine learning model to analyze thousands of reviews to predict customer’s sentiment towards Amazon Echo product. The algorithm could be used automatically understand the sentiment from public reviews, which could be used by companies to gain customer insights about their products and services.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides practical, industry-relevant experience with customer sentiment analysis using AI/ML techniques
Targeted towards beginners with a basic understanding of NLP and machine learning concepts
Led by experienced instructors, Ryan Ahmed, who brings expertise in AI/ML and NLP
Requires access to a computer, which may pose a barrier for some learners
Save this course
Save Amazon Echo Reviews Sentiment Analysis Using NLP 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 Amazon Echo Reviews Sentiment Analysis Using NLP with these
activities:
Read 'Natural Language Processing with Python'
Show steps
Provides a comprehensive overview of NLP concepts and techniques, with practical examples and exercises.
View
Natural Language Processing with Python:...
on Amazon
Show steps
-
Read the book thoroughly, taking notes and highlighting key concepts.
-
Implement the NLP techniques discussed in the book using Python.
-
Attend the online book club meetings to discuss the book and ask questions.
Join a study group or discussion forum
Show steps
Fosters collaboration, knowledge sharing, and exchange of ideas among learners.
Browse courses on
Natural Language Processing
Show steps
-
Find a study group or discussion forum that aligns with your learning goals.
-
Actively participate in discussions, asking questions and sharing your insights.
-
Collaborate with other learners on projects or assignments.
Practice NLP tasks on Kaggle
Show steps
Reinforces understanding of NLP techniques and provides hands-on experience in applying them to real-world datasets.
Browse courses on
Natural Language Processing
Show steps
-
Create a Kaggle account and join the NLP community.
-
Explore the NLP datasets available on Kaggle.
-
Choose a dataset and practice implementing NLP techniques to solve the associated task.
-
Share your results and discuss your approach with the Kaggle community.
Three other activities
Expand to see all activities and additional details
Show all six activities
Attend a workshop on NLP applications in industry
Show steps
Provides exposure to the latest advances and practical applications of NLP in various industries.
Browse courses on
Natural Language Processing
Show steps
-
Search for relevant workshops in your area or online.
-
Register for and attend the workshop.
-
Take notes and actively participate in discussions.
-
Follow up with the workshop organizers or speakers to explore further learning opportunities.
Contribute to an open-source NLP project
Show steps
Provides experience in collaborating on real-world NLP projects and contributing to the open-source community.
Browse courses on
Natural Language Processing
Show steps
-
Find an open-source NLP project that interests you.
-
Review the project's documentation and codebase.
-
Identify an area where you can make a contribution.
-
Create a pull request with your proposed changes.
-
Collaborate with the project maintainers to improve your contribution.
Develop a text summarization tool
Show steps
Provides hands-on experience in building a complete NLP application from scratch.
Browse courses on
Natural Language Processing
Show steps
-
Choose a specific type of text to summarize, such as news articles or scientific papers.
-
Research and implement text summarization algorithms.
-
Create a user-friendly interface for your tool.
-
Test and evaluate your tool on different types of text.
Read 'Natural Language Processing with Python'
Show steps
Provides a comprehensive overview of NLP concepts and techniques, with practical examples and exercises.
View
Natural Language Processing with Python:...
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly, taking notes and highlighting key concepts.
- Implement the NLP techniques discussed in the book using Python.
- Attend the online book club meetings to discuss the book and ask questions.
Join a study group or discussion forum
Show steps
Fosters collaboration, knowledge sharing, and exchange of ideas among learners.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Find a study group or discussion forum that aligns with your learning goals.
- Actively participate in discussions, asking questions and sharing your insights.
- Collaborate with other learners on projects or assignments.
Practice NLP tasks on Kaggle
Show steps
Reinforces understanding of NLP techniques and provides hands-on experience in applying them to real-world datasets.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Create a Kaggle account and join the NLP community.
- Explore the NLP datasets available on Kaggle.
- Choose a dataset and practice implementing NLP techniques to solve the associated task.
- Share your results and discuss your approach with the Kaggle community.
Three other activities
Expand to see all activities and additional details
Show all six activities
Attend a workshop on NLP applications in industry
Show steps
Provides exposure to the latest advances and practical applications of NLP in various industries.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Search for relevant workshops in your area or online.
- Register for and attend the workshop.
- Take notes and actively participate in discussions.
- Follow up with the workshop organizers or speakers to explore further learning opportunities.
Contribute to an open-source NLP project
Show steps
Provides experience in collaborating on real-world NLP projects and contributing to the open-source community.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Find an open-source NLP project that interests you.
- Review the project's documentation and codebase.
- Identify an area where you can make a contribution.
- Create a pull request with your proposed changes.
- Collaborate with the project maintainers to improve your contribution.
Develop a text summarization tool
Show steps
Provides hands-on experience in building a complete NLP application from scratch.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Choose a specific type of text to summarize, such as news articles or scientific papers.
- Research and implement text summarization algorithms.
- Create a user-friendly interface for your tool.
- Test and evaluate your tool on different types of text.
Career center
Learners who complete Amazon Echo Reviews Sentiment Analysis Using NLP will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Scientist
Natural Language Processing Scientist
Natural Language Processing Scientists conduct research and develop new NLP techniques and algorithms. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Natural Language Processing Scientists who want to explore the use of NLP techniques for sentiment analysis and other natural language processing tasks.
Data Architect
Data Architect
Data Architects design and manage data systems to meet the needs of an organization. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Data Architects who want to gain expertise in using NLP techniques to analyze customer feedback, identify data requirements, and design data systems that can support sentiment analysis and other natural language processing tasks.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing strategies to promote products and services and build brand awareness. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Marketing Managers who want to gain expertise in using NLP techniques to analyze customer feedback, identify customer pain points, and develop targeted marketing campaigns.
Consultant
Consultant
Consultants provide expert advice and guidance to organizations on a wide range of topics, including business strategy, operations, and technology. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Consultants who want to enhance their skills in using NLP techniques to analyze customer feedback, identify trends, and develop recommendations for clients.
User Experience Researcher
User Experience Researcher
User Experience Researchers conduct research to understand user needs and behaviors, and design products and services that meet those needs. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for User Experience Researchers who want to gain expertise in using NLP techniques to analyze customer feedback and identify areas for improving user experience.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data to help organizations make informed decisions. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Statisticians who want to enhance their skills in using NLP techniques to analyze customer feedback, extract insights, and develop statistical models to support decision-making.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Software Engineers who want to build their expertise in NLP techniques and apply them to develop innovative software solutions for sentiment analysis and other natural language processing tasks.
Research Analyst
Research Analyst
Research Analysts conduct research and provide insights on a wide range of topics, including market trends, industry dynamics, and customer behavior. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Research Analysts who want to gain expertise in using NLP techniques to analyze customer feedback and extract valuable insights for their research projects.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Quantitative Analysts who want to explore the use of NLP techniques to analyze customer sentiment and incorporate this analysis into their financial models.
Product Manager
Product Manager
Product Managers are responsible for defining, developing, and launching new products or features. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Product Managers who want to understand how to analyze customer feedback using NLP techniques, identify areas for product improvement, and make data-driven decisions to enhance product quality and user satisfaction.
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers specialize in developing and applying NLP techniques to solve real-world problems. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Natural Language Processing Engineers who want to build their knowledge of NLP techniques, particularly in the context of sentiment analysis and customer feedback analysis.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models to solve real-world problems. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Machine Learning Engineers who want to gain expertise in using NLP techniques to build and evaluate machine learning models for sentiment analysis and other natural language processing tasks.
Data Scientist
Data Scientist
Data Scientists leverage their expertise in statistics, machine learning, and data analysis to solve complex business problems and drive innovation. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Data Scientists who want to enhance their skills in applying NLP techniques to analyze customer sentiment, build predictive models, and gain actionable insights from large datasets.
Data Analyst
Data Analyst
Data Analysts play a crucial role in transforming raw data into insights that can drive decision-making. They use statistical and analytical techniques to examine data, identify trends and patterns, and communicate findings to stakeholders. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Data Analysts who want to gain proficiency in using NLP techniques to analyze customer sentiment and extract valuable insights from unstructured text data.
Business Analyst
Business Analyst
A Business Analyst's job is to assess an organization's operations and workflow, identify areas for improvement and communicate solutions. To be successful in this role, professionals must be able to collect and analyze large amounts of data from a variety of sources, which includes customer reviews. The Amazon Echo Reviews Sentiment Analysis Using NLP course may be useful for Business Analysts who want to enhance their skills in analyzing and interpreting customer feedback.
For more career information including salaries, visit:
OpenCourser.com/course/1bsda3/amazon
Reading list
We've selected ten 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
Amazon Echo Reviews Sentiment Analysis Using NLP .
Focuses specifically on the analysis of customer feedback, providing techniques for extracting insights and improving products and services.
Provides a comprehensive overview of NLP concepts and techniques, using Python and the Natural Language Toolkit (NLTK) library.
Provides a comprehensive overview of sentiment analysis, covering different algorithms and techniques.
Focuses on building real-world NLP applications, using Python and other tools.
Offers a practical approach to NLP, focusing on building real-world applications.
Offers a hands-on approach to machine learning using Python, covering a range of algorithms and techniques.
Provides a practical introduction to data analysis using Python, including data cleaning, manipulation, and visualization.
Covers a wide range of topics in speech and language processing, including speech recognition, natural language understanding, and machine translation.
Save
Provides a comprehensive overview of deep learning, including convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive overview of artificial intelligence, including machine learning, natural language processing, and computer vision.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1bsda3/amazon
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ryan Ahmed
Language
English
Good to know
Provides practical, industry-relevant experience with customer sentiment analysis using AI/ML techniques
Targeted towards beginners with a basic understanding of NLP and machine learning concepts
Led by experienced instructors, Ryan Ahmed, who brings expertise in AI/ML and NLP
Requires access to a computer, which may pose a barrier for some learners
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