Choose the Most Appropriate Emoji for a Text Using NLP Models
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Updated
Jun 29, 2022 - Jupyter Notebook
Choose the Most Appropriate Emoji for a Text Using NLP Models
Transform text into emojis 🚀
Allows you to transform emojis into code and codes into emojis
A simple handson NLP project, constructing a model to predict emojy based on sentence using Keras and Pytorch frameworks.
Convert the aliases to emoji raw characters.
A system that inputs a sentence (such as “Let’s go see the baseball game tonight!”) and finds the most appropriate emoji to be used with this sentence (⚾️)
A Bash Prompt for git and some emojis to keep your life interesting
Emojify app converts a sentence to its suitable emoji with 0.85 accuracy which can be improved with a big dataset.
An app to cast your emotions as an emoji!
Implementation of some fun projects with LSTM (long short-term memory) architecture by PyTorch library
Emoji manager floating panel , based on user input
A personal Blog - little project to expand my HTML/CSS/Bootstrap/JS knowledge.
using glove embedding for word representation and LSTM model for predicting the emojis
Face Recognition and Emojify it for fun
Add a description, image, and links to the emojify topic page so that developers can more easily learn about it.
To associate your repository with the emojify topic, visit your repo's landing page and select "manage topics."