Giter Site home page Giter Site logo

elasticsearch-email-parsing-and-analysis's Introduction

Elasticsearch-Email-Parsing-and-Analysis

Personal project to practice Elasticsearch and Kibana by parsing and analyzing emails

Functions as follows: Takes in and unzips .zip file Determines the extracts files and determines file types (Cannot handle folders yet) For .MBOX: Iterates through every email in the .mbox file and stores the plain text, then indexes it in ES If an email has attachments, it sends them to the main file handling method For .PDF: Opens the PDF and creates a new dictionary with its metadata Sends a JSON to the parser For .TXT: Sends the text to the parser Parses the file accordingly and creates an index for each file and email in ES

Once all the indexes are completed, Kibana displays the analytics on a dashboard

NOTE: I am well away the parsing algorithm is garbage, it's just a placeholder. I'll fix it someday in the future

elasticsearch-email-parsing-and-analysis's People

Contributors

jacob-thrasher avatar

Watchers

James Cloos avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.