LeadList

This is a tool that automatically generates a list of potential leads for a salesforce based on their previous contacting behavior using Machine Learning.

Setup

Start by running the following command:

pip install -r requirements.txt

Download NLTK Stopwords from: nltk package.

Run a Python interpreter and type the following:

import nltk
nltk.download('stopwords')

PS: We're also experimenting with a neural net (in TensorFlow) in the nn.py file.

Using

Create a CSV file of company name and description. I have used FullContact API to retrieve company descriptions.

train_algorithm

This script trains the algorithms on input data. It expects two excel sheets named qualified and disqualified in the input. These sheets need to contain two columns:

URL
Description

Run the script using:

python run.py

It'll dump three files into the qualify_leads

algorithm
vectorizer
tfidf_vectorizer

You're now ready to start classifying your sales leads!

Qualify_leads

This is the script that actually predicts the quality of the leads. Add an excel sheet named data in the input folder in qualify_leads. Use the same format as the example file that's already there.

Run the script:

python run.py

It'll output an excel sheet with a column named Prediction, where 1 equals qualified and 0 equals disqualified:

Todo: