A tool to accelerate competitive audits and brand discovery with machine learning by identifying actionable patterns, trends, commonalities and differentiation amongst a competitive set.
First, you will need to install git, if you don't have it already.
Next, clone this repository by opening a terminal and typing the following commands:
$ cd $HOME # or any other development directory you prefer
$ git clone https://github.com/noufali/project-constellation.git
$ cd project-constellation
These files work with Python 3. So please set up a virtual environment and install the libraries listed in requirements.txt.
$ pip install -r requirements.txt
word2vec.py - requires downloading vector data from the official word2vec website:
GoogleNews-vectors-negative300.bin.gz
topics_gensim.py (mallet method) - requires downloading the mallet binary file