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NOTE: All 1st-time contributors should know Topic approval and PR submission do NOT guarantee your Topic/Article will be published. Our team of Peer Reviewers and Content Moderators will review all PRs that come in to make sure they adhere to the standard of quality we expect from the EngEd community.
We expect all community members to go through provided examples, resources, and previously published material before submitting content. As a rule of thumb, please only submit articles (pull requests) that are complete, formatted correctly, and include a fully polished article (ready to be published and error-free).
All revisions and edits should be completed on your forked repo (as to not take up room in the queue). Any PR that is submitted incomplete (meaning not ready to be published as is) will be closed. A PR being closed does NOT mean the article can not be published (or fixed) it simply means that the edits, revisions, and fixes will happen outside of the queue.
NOTE: Any topic suggestion copied/taken/modified from YouTube may Lead to a permanent ban from the community.
Topic Suggestion
Emotion Recognition
Pre-submission advice
By following all our pre-submission advice and reviewing our Resources folder, you will maximize your chances of your topic being approved.
We ask that you please be patient as our team works through approving and publishing all articles/tutorials in a timely manner.
Allow 1-3 days for a topic to be reviewed and/or approved. Also, allow 3-7 days for an article to be reviewed and/or published (subject to vary depending on volume and/or backlog of articles).
Be sure to visit our Resources Page for tools, resources, and example articles that will help you propose and write a successful article.
Please ensure that you have only one open issue + linked pull request at a time. This will ensure that we complete the article in a timely manner from inception to publishing.)
We tend to stray away or tend not to publish reviews/comparisons of commercial product offerings.
Writing sample(s):
Include any links or writing samples - to help our team better gauge your writing quality.
Proposal Submission
Proposed title of the article
Your title should be descriptive of the article/tutorial. Be Specific.
Use keyword research to improve your article's SEO.
Proposed article introduction
Emotions play a fundamental role in human communication and interaction, shaping our perceptions, decisions, and responses. As technology continues to advance, the field of artificial intelligence (AI) has made significant strides in understanding and interpreting human emotions. Emotion recognition, a branch of AI, focuses on developing models that can recognize and classify emotions expressed in various mediums, including text, images, and videos. The ability to accurately identify and understand emotions has vast implications, ranging from improving customer experiences and personalized marketing to enhancing mental health support and human-computer interaction. In this article, we delve into the fascinating world of emotion recognition and explore how AI models are revolutionizing our understanding of human emotions.
Imagine a world where machines possess the ability to perceive and comprehend human emotions just as effectively as humans themselves. This futuristic vision is becoming increasingly plausible with the advancements in emotion recognition technology. Emotion recognition models employ sophisticated algorithms and machine learning techniques to detect, analyze, and interpret emotional cues embedded in various forms of data, such as textual content, images, and videos. By deciphering emotions accurately, these models have the potential to revolutionize numerous fields, including marketing, healthcare, entertainment, and beyond. In this article, we delve into the exciting realm of emotion recognition, exploring its applications, challenges, and the remarkable progress made in this field. Join us on this journey as we unravel the complexities of human emotions and witness the transformative impact of AI-powered emotion recognition.
ONLY viable topics to pick from:
API
Artificial Intelligence
Blockchain
Containers
Edge Computing
Languages
Machine Learning
Networking
Node.js
Security
Key takeaways
What are the 3-5 most important things the reader should understand or be able to do after reading this article?
Use this area to get your ideas down on the bulk of your article or tutorial.
Article quality
How is your article unique? Tell us what makes your approach different from similar articles that have been published on the same topic?
Is yours more in-depth? Does it cover additional topics? Do you provide handy tips or anecdotal advice?
References
Please list links to any published content/research that you intend to use to support/guide this article.
Conclusion
Finally, remove the Pre-Submission advice section and all our blockquote notes as you fill in the form before you submit.
We look forward to reviewing your topic suggestion.
👋 @breathernzuki
Good afternoon and thank you for submitting your topic suggestion.
Your topic form has been entered into our queue and should be reviewed (for approval) as soon as a content moderator is finished reviewing the ones in the queue before it.
NOTE: All 1st-time contributors should know Topic approval and PR submission do NOT guarantee your Topic/Article will be published. Our team of Peer Reviewers and Content Moderators will review all PRs that come in to make sure they adhere to the standard of quality we expect from the EngEd community.
We expect all community members to go through provided examples, resources, and previously published material before submitting content. As a rule of thumb, please only submit articles (pull requests) that are complete, formatted correctly, and include a fully polished article (ready to be published and error-free).
All revisions and edits should be completed on your forked repo (as to not take up room in the queue). Any PR that is submitted incomplete (meaning not ready to be published as is) will be closed. A PR being closed does NOT mean the article can not be published (or fixed) it simply means that the edits, revisions, and fixes will happen outside of the queue.
NOTE: Any topic suggestion copied/taken/modified from YouTube may Lead to a permanent ban from the community.
Topic Suggestion
Emotion Recognition
Pre-submission advice
By following all our pre-submission advice and reviewing our Resources folder, you will maximize your chances of your topic being approved.
We ask that you please be patient as our team works through approving and publishing all articles/tutorials in a timely manner.
Allow 1-3 days for a topic to be reviewed and/or approved. Also, allow 3-7 days for an article to be reviewed and/or published (subject to vary depending on volume and/or backlog of articles).
Be sure to visit our Resources Page for tools, resources, and example articles that will help you propose and write a successful article.
Please ensure that you have only one open issue + linked pull request at a time. This will ensure that we complete the article in a timely manner from inception to publishing.)
We tend to stray away or tend not to publish reviews/comparisons of commercial product offerings.
Writing sample(s):
Include any links or writing samples - to help our team better gauge your writing quality.
Proposal Submission
Proposed title of the article
Your title should be descriptive of the article/tutorial. Be Specific.
Use keyword research to improve your article's SEO.
Proposed article introduction
Emotions play a fundamental role in human communication and interaction, shaping our perceptions, decisions, and responses. As technology continues to advance, the field of artificial intelligence (AI) has made significant strides in understanding and interpreting human emotions. Emotion recognition, a branch of AI, focuses on developing models that can recognize and classify emotions expressed in various mediums, including text, images, and videos. The ability to accurately identify and understand emotions has vast implications, ranging from improving customer experiences and personalized marketing to enhancing mental health support and human-computer interaction. In this article, we delve into the fascinating world of emotion recognition and explore how AI models are revolutionizing our understanding of human emotions.
Imagine a world where machines possess the ability to perceive and comprehend human emotions just as effectively as humans themselves. This futuristic vision is becoming increasingly plausible with the advancements in emotion recognition technology. Emotion recognition models employ sophisticated algorithms and machine learning techniques to detect, analyze, and interpret emotional cues embedded in various forms of data, such as textual content, images, and videos. By deciphering emotions accurately, these models have the potential to revolutionize numerous fields, including marketing, healthcare, entertainment, and beyond. In this article, we delve into the exciting realm of emotion recognition, exploring its applications, challenges, and the remarkable progress made in this field. Join us on this journey as we unravel the complexities of human emotions and witness the transformative impact of AI-powered emotion recognition.
ONLY viable topics to pick from:
Key takeaways
What are the 3-5 most important things the reader should understand or be able to do after reading this article?
Use this area to get your ideas down on the bulk of your article or tutorial.
Article quality
How is your article unique? Tell us what makes your approach different from similar articles that have been published on the same topic?
Is yours more in-depth? Does it cover additional topics? Do you provide handy tips or anecdotal advice?
References
Please list links to any published content/research that you intend to use to support/guide this article.
Conclusion
Finally, remove the Pre-Submission advice section and all our blockquote notes as you fill in the form before you submit.
We look forward to reviewing your topic suggestion.
Templates to use as guides
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