ML Model

[Team-thedatatribune]

dyPixa and ML Models 🤖

This project relies heavily on creating, deploying, and utilizing various machine learning models, primarily for:

1. NLP Analysis 📝
2. Color Recommendations (supervised learning) 🌈
3. Clustering 🔍

Why Machine Learning? 🤔

1. Text Sentiment Analysis with NLP: Crucial for extracting sentiments from diverse text in multiple languages (English and Hindi). The model should understand languages and generalize sentiments effectively. 🌐🗣️
2. Sentiments-to-Color Recommendation: Colors significantly impact emotions (research, blog). Using supervised learning on sentiment-related images, the ML model will suggest optimal color combinations for enhancing content engagement, with broader applications. 🎨🖼️
3. Clustering: To diversify color recommendations, preventing repetitive solutions. ML models can create color clusters suggested by previous models to enhance color selection. 🔄🌈

Accepted Contributions... 🤝✅

This issue focuses on developing new ML and NLP models and associated code for:

• Language recognition and text processing 🗣️📝
• Multilingual sentiment analysis 🌐📊
• Mapping sentiments to multiple hex color codes 🌈🔢
• Generating diverse color combinations 🌟🌈

Contributors are encouraged to tackle related sub-problems while addressing issue #4. 💡🔧

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Note: 📌 The necessary information related to the data to build/test these models could be found in issue #6. It is appreciated to contribute with data, as well.

[Cephasgokula]

i know how to develop NLP and ML models . assign it to me

[ravi-prakash1907]

i know how to develop NLP and ML models . assign it to me

@Cephasgokula, Fantastic! I've assigned it to you. To get started, please take a look at issue #27. You might also find issue #26 quite interesting and relevant to your expertise. Happy coding! 👍😊

[raghavakamuju]

i am intrested in solving this issue please assign me

[Team-thedatatribune]

i am intrested in solving this issue please assign me

Please do specify the particular sub-problem that you aim to work on. There are high chances that we might already have the dedicated issue for the same as well.

[raghavakamuju]

iam instrested in doing sentiment analysis model Text Sentiment Analysis with NLP:

[ravi-prakash1907]

@raghavakamuju, we will not accept any new sentiment identifier trained on the entirely new dataset. However, you can contribute in any of the following ways:

1. Training your model on the data provided in the dyPixa project.
2. Fine-tuning the model (roberta-base-go_emotions) provided here.
3. Improving the already committed solution as per the requirements. Check [Fix] Update code for ML model #62 for the details.

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• We'll be merging the improved code (point-3) as priority.