Machine Learning for Funne

In this project, machine learning creates a sentiment analysis model to classify skincare product ingredients that have the potential to trigger fungal acne or safe fungal acne. The sentiment analysis model use LSTM method.

Datasets

References dataset we use in building the model:

Cosmetics datasets
Ingredients Sezia Website
Fungal Acne Safe Products

Library Sentiment Analysis Model

Numpy
TensorFlow
Keras
Pandas
Matplotlib
Embeddings
Tokenizer

Website Checker

We use Sezia for checking skincare products trigger or safe fungal acne. This website contains material checking, ingredients that trigger into 4 categories (fatty acids, lipids, ester, and miscellanuous), and skincare product recommendations.

References

Sentiment Analysis of Twitter

Sentiment Analysis Models Anticede

Text Based Sentiment Analysis using LSTM

Contributor