APA Feature Engineering
Revision as of 20:20, 22 February 2017 by Prekshaapu.2013 (talk | contribs)
Subject Line weightage: We will be using subject line weightage as one of the components in determining how important and relevant a single email exchange is to the business. Our approach will be as follows:
- First run an analysis on all the terms occurring in the entire dataset
- This analysis will filter out common words, prepositions and other unimportant words that could potentially skew the results.
- The analysis will return a listen of words along with the frequency of the term’s occurrence in the dataset.
- Based on the results obtained, we would like to calculate the tf-idf of each term.
- tf: how often does the term occur in the document
- idf: how often does the term occur in other documents
- tf-idf will allow us to find the most important terms in the set of documents
- Using the value of this tf-idf, we will assign each term a weightage based on how important it is in determining the importance to the business
- Each subject line of an email will then have an aggregated weightage of the terms appearing in itself.
Email Exchange Ratio:
This metric will show the number of emails exchanged between the two employees as a ratio of the total number of emails exchanged by these employees.
Average Email Exchange Size:
This metric takes the average of email sizes of all the emails exchanged between two employees A and B.
