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A friend circle hiding emotion analysis method based on an impression matrix

A technology of sentiment analysis and friendship, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of improving accuracy

Active Publication Date: 2019-05-03
NANJING UNIV OF FINANCE & ECONOMICS +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For example, posting "Going home from get off work" in the circle of friends grouped by colleagues in the middle of the night, the text itself does not contain any emotional color, but the intention of the poster is to hope that colleagues or leaders can see and even praise their hard work overtime, with subjectively positive color

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  • A friend circle hiding emotion analysis method based on an impression matrix
  • A friend circle hiding emotion analysis method based on an impression matrix
  • A friend circle hiding emotion analysis method based on an impression matrix

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Embodiment Construction

[0021] The present invention will be further explained below in conjunction with the drawings:

[0022] Reference figure 1 , Is a flowchart of a method for analyzing hidden emotions in Moments based on impression matrix of the present invention; the method for analyzing hidden emotions in Moments based on impression matrix includes the following steps:

[0023] Step 1. Define the emotional polarity of Moments as positive or negative, and select all Moments in the collected Moments data that are difficult to determine by emotional identification only through text content, and represent them with set U;

[0024] Step 2. Assuming that there are n Moments in the set U, then for each Moments u in U k ∈U(1≤k≤n), calculate its publisher p i Of the circle of friends impression matrix I, and then combined with u k The visible parameter vector G of the people grouped by each label set when sending, calculate the circle of friends u k The corresponding hidden emotion vector R=G*I, based on the...

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Abstract

The invention relates to a friend circle hidden emotion analysis method based on an impression matrix. The invention discloses a friend circle sentiment analysis method, belongs to the field of WeChatfriend circle text sentiment analysis, mainly solves the problem that friend circle content publishers hide sentiment analysis, and specifically comprises the following steps: 1) selecting all friendcircles which are difficult to judge sentiment identifiers only through text contents in collected friend circle data, and representing the friend circles with a set U; 2) for each friend circle uk in the set U, determining that each friend circle uk belongs to U, calculating a friend circle impression matrix I of a publisher pi, calculating a hidden emotion vector R = G * I corresponding to a friend circle uk by combining with a visible parameter vector G set for people in each label group when the uk is sent, and judging the hidden emotion polarity of the friend circle uk based on the hidden emotion vector R; and 3) repeatedly executing the step 2) until the hidden emotion polarities of all the friend circles in the set U are output. The method is beneficial to improving the accuracy offriend circle hidden emotion analysis.

Description

Technical field [0001] The invention belongs to the field of text sentiment analysis, and in particular relates to an impression matrix-based method for analyzing hidden sentiments in friend circles. Background technique [0002] Social software provides an economic and convenient channel for people to express their opinions and exchange emotions. Generally speaking, the remarks made by users in social software are usually short but contain rich personal emotions and subjective tendencies. How to efficiently mine the personal emotions contained in these short texts is a current research hotspot. Therefore, text sentiment analysis technology is attracting more and more attention from researchers in different fields such as artificial intelligence, data mining, natural language processing, etc. Its essence is the process of analyzing, processing, inducing and inferring sentimental subjective text . [0003] WeChat, as the most popular even communication software and social softwar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06Q50/00
Inventor 王有权方昌健曹杰伍之昂
Owner NANJING UNIV OF FINANCE & ECONOMICS
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