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Mood indicator based on history of electronic communication thread

IP.com Disclosure Number: IPCOM000198194D
Publication Date: 2010-Jul-29
Document File: 3 page(s) / 32K

Publishing Venue

The IP.com Prior Art Database

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Mood indicator based on history of electronic communication thread

Electronic communication has become the overwhelming prevalent method of human interaction. This method of interaction lacks a plurality of attributes which are taken for granted in face-to-face communication. Once communicating electronically with a person whether for the first time or the first time in an electronic format, often times, it is difficult to gauge if a certain style is the norm based-on the style of that person.

Joe is an engineer and suddenly he gets an email from an executive that calls for an action and the content of the email includes some sarcasm and other words that the receiving end may interpret as inflammatory. Joe has no idea if the situation is so bleak and the to-do is so urgent because of this style, and should drop all current tasks and do it. Joe doesn't know if this is a normal email that this person uses normally with the same style. The lack of a mood indicator can be difficult for Joe to place such task on the priority stack. We propose a system and method that analyzes a sender's previous electronic communications and provides a mood indicator associated with the current communication.

Based on the past communication history for a particular person, we can build a profile that reflects the mood history in various communication context for this particular person.

This profile is built based on analyzing the communication history in at least the following ways:
(a) the tone of the communication and the frequency of negative/

positive tones. This analysis can

be done, for example, based on the negative wording (derogatory words).
(b) how terse the communication normally is.
(c) association of subject with the tone of the communication.

With the profiles built by analyzing the communication history, we propose a system to compare new communication from this person with the person's profile, and determine the mood of the

person in the new communication.

(a)The system can present the historical data in charts for user to understand the communication styles.
(b) The system can recommend the mood indicator with respect to the new email in a graphical display based on objective analysis with previous communication history
(c) detect anomaly change in the tone and recommend taking appropriate action
(d) self-assessment email algorithm which helps users to evaluate his email tone consistent with the intent

Below is the high level of the flow. The algorithm is explained in the below sections:

1. Collecting data from a communication history

2. The communication history data then go through the Mood Miner to build a person's mood

profile. For example, to name a few algorithms, this can be achieved by leveraging the

following ways :
(a) the tone of the communication and the frequency of negative/

analysis can be done, for example, based on the negative wording (derogatory words). We can leverage the Natural Language Processing to extract the negati...