Classify Email Log For Free

Emails are of three types: Semi-Formal email. Formal email. Informal email.

By applying an appropriate classification to an email you can clearly identify the sensitivity of the information and ensure proper handling and protection of critical data against unauthorized use and accidental loss.

We will classify the emails as written by one person or the other based only on the text of the email. We will use the following algorithms one by one: Naive Bayes, Support Vector Machine, Decision Trees, Random Forest, KNN, and AdaBoost Classifier.

Email Classifier enables Outlook users to classify emails ing to their sensitivity creating both a Visual and metadata label. Once labelled, data can be controlled to ensure that emails and files are only sent to those you want to receive them, protecting your sensitive information from accidental loss.

Email message classification tags each email sent with one of 3 classifications - Restricted, Controlled or Public.

Email Classification works on the same basic concepts. By going through the text of the email, we will use Machine Learning algorithms to predict whether the email has been written by one person or the other.

Right-click the email message or selected messages, and then selectfeff Categorize from the list. Then, do the following: To apply a category: Select the category you want to use. To remove a category: Clear the check mark next to the category.

Enable Automatic Categorizing I think this might be the easiest: Right-click an email from your Inbox that matches the criteria of the Category you're about to create. Choose "Create Rule" to bring up the Create Rule dialog box. Skip the simple options and go straight to "Advanced Options" using the button in the

Email message classification tags each email sent with one of 3 classifications - Restricted, Controlled or Public. The classification should be chosen by you depending on the content of the email.

Typically, there are four classifications for data: public, internal-only, confidential, and restricted.