DELIVERING AN EMAIL ATTACHMENT AS A SUMMARY

• US 20160241499A1
• Filed: 09/30/2013
• Published: 08/18/2016
• Est. Priority Date: 09/30/2013
• Status: Abandoned Application

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Inventors: Hailpern, Joshua, Asur, Sitaram
• Application Number:
  US15/025,693
• Publication Number:
  US 20160241499A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: H04L 51/063 Content adaptation, e.g. replacement of unsuitable content
• CPC Class Codes: H04L 51/08 Annexed information, e.g. attachments

Abstract

Delivery of an attachment as a summary in an email is disclosed. An attachment in an email to be sent by a sender is summarized to extract attachment highlights. The email is sent from the sender to a recipient by including in a body of the email the extracted attachment highlights and a link to the attachment.

Claims

1. A computer implemented method for delivering an email attachment as a summary, comprising:

summarizing, by a computer, art attachment in an email to be sent by a sender to extract attachment highlights; and

sending, by a computer, the email from the sender to a recipient by including in a body of the email the extracted attachment highlights and a link to the attachment.

3. The computer implemented method of claim 1, wherein summarizing the attachment to extract attachment highlights comprises extracting text from the attachment and filtering the test to generate a text document containing noun words and verb words from the text.

4. The computer implemented method of claim 3, further comprising lemmatizing the noun words and verb words in the text document and removing low frequency noun words and verb words and low content sentences from the text document.

5. The computer implemented method of claim 4, further comprising computing a similarity matrix by calculating averages of pairwise distances between words for any two given sentences in the text document.

6. The computer implemented method of claim 5, further comprising determining a set of clusters of sentences in the text document.

7. The computer implemented method of claim 6, further comprising, for each cluster in the set of clusters:

removing sentences with less than a given number of cue words from the each cluster;

assigning a sentence with most unique words as a representative sentence for the each cluster; and

if more than one sentence has a same number of unique words, assigning a sentence having a largest inverse term frequency as the representative sentence.

8. The computer implemented method of claim 7, wherein including in a body of the email the extracted attachment highlights and a link to the attachment comprises including in the body of the email a representative sentence from each cluster and a password to access the attachment in the link to the attachment.

9. A system for delivering email attachments as a summary, comprising:

a processor; and

a set of memory resources storing a set of modules with routines executable by the processor, the set of modules comprising;

an email attachment summarization module to summarize an email attachment with attachment highlights; and

an email delivery module to send the email to a user by including in a body of the email the extracted attachment highlights and a link to the attachment.

10. The system of claim 9, wherein the attachment is not attached to the email and is accessed in a cloud-based network via the link with a password.

11. The system of claim 9, wherein the email attachment summarization module comprises routines to:

divide the attachment into sections;

construct a sentence-word occurrence matrix with words and sentences from the attachment;

generate a singular value decomposition of the sentence-word occurrence matrix;

generate a weighted list of words for the attachment from the singular value decomposition;

add weights for words in each sentence of the sentence-word occurrence matrix to determine a value for each sentence; and

assign a sentence as a representative sentence for the each section based on its value and a number of cue phrases in the sentence.

12. The system of claim 11, wherein the extracted attachment highlights comprise representative sentences from the sections in the attachment.

13. A non-transitory computer readable medium comprising instructions executable by a processor to:

detect an attachment in an email to be sent by a sender;

summarize the attachment to extract attachment highlights, the attachment highlights comprising representative sentences from a set of thematic clusters in the attachment; and

send the email from the sender to a receiver by including in a body of the email the extracted attachment highlights and a link to the attachment.

14. The non-transitory computer readable medium of claim 13, wherein the thematic clusters are generated by constructing a sentence-word occurrence matrix from text in the attachment and computing a singular value decomposition of the sentence-word occurrence matrix to generate a similarity matrix of sentences for extracting the thematic clusters.

15. The non-transitory computer readable medium of claim 13, wherein the email does not attach the attachment and the attachment is retrieved from a cloud-based network with an access password associated with the link to the attachment.