Natural Processing Language Sentiment Analysis Model
In this code, a Portuguese Sentiment Analysis model is trained using the encoder Word2Vec from (http://nilc.icmc.usp.br/embeddings) and Random Forest classifier from bag-of-words' approach. The training database is 300k tweets in portuguese that have emojis to indicate the tweet sentiment. The classifier is trained to predict two sentiments (positive and negative) from text inputs.