Emotion Recognition based on nlp

[agupta451]

Given a dataset of text samples (e.g., social media posts, product reviews, or dialogues), build an NLP model that identifies and labels the dominant emotion conveyed in each text. The system will be able to handle diverse language patterns, slang, and nuanced expressions to ensure robust emotion classification across various contexts.
Key challenge to deal with ambiguous language, context-specific emotions, and understanding subtle emotional shifts within the text.
@Niketkumardheeryan kindly assign me this issue under Hacktoberfest and GSSoC-Ext

[github-actions]

Thanks for creating the issue,Please read the Pinned issued first and Readme.md in each Pull Request you made. Keep learning...

[am-nimrah]

Vocabulary Quiz Error: The user enters "v" instead of their answer for "mathematician." This is likely a typo or the user using a shortcut key to register their answer (which isn't ideal).
Possible Improvement: The quiz code could be modified to accept multiple forms of user input, including "v" for "wrong" or allowing the user to type their full answer.

[am-nimrah]

Multiple Errors in the Quiz: The quiz seems to register all subsequent answers ("s") as incorrect. This could be an issue with the quiz logic or the user not providing complete answers.

[am-nimrah]

The pronunciation evaluation uses a pre-defined sentence ("I love learning languages") and simply checks for a complete match. This is a basic approach and wouldn't catch specific pronunciation errors within the sentence.