A tool for modeliing documents containing emojis.

This project partially depends on python, R and emoji2vec, which has been added as a git submodule in this project. In order to install all dependencies, you need to:

1. Have mini conda installed and executable your command line prompt.
2. Create the feiwen python virtual environment: conda env create -f environment.yml
3. git submodule update --init --recursive (This pulls emoji2vec into libs/emoji2vec)

1. Get some data, the format should be

{
	"id": STRING, 
	"text": "....",
	"sentiment": "POS" || "NEG",
	"emoji_class": "+" || "-"
}

2. Split the data by emoji class
3. Get emoji2vec vectors
4. Generate doc2vec based on (2) and (3)
5. Visualise the data in 2 by something like tsne

• Paragraph2Vec