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A Text Data Analysis Method Involving Emotion in Computer

A technology of text data and analysis methods, applied in text database clustering/classification, unstructured text data retrieval, calculation, etc., can solve problems such as inaccurate output results and difficulty in determining the number of topics

Active Publication Date: 2019-02-22
NANJING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage is that the number of topics is difficult to determine, and there are often overlaps between topics, resulting in inaccurate output results

Method used

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  • A Text Data Analysis Method Involving Emotion in Computer
  • A Text Data Analysis Method Involving Emotion in Computer
  • A Text Data Analysis Method Involving Emotion in Computer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0107] In this embodiment, for the online comment corpus of the laptop computer, a corresponding artificial target language is constructed to form a parallel corpus for training the alignment model.

[0108] For a comment sentence: "Fantastic for the price, it's a pity keys were notilluminated." (rough meaning: the price is right, unfortunately the keyboard is not backlit.) The marked results include two Opinions: , . Construct artificial language sentences according to the grammar explained above: "LAPTOP PRICE is positive; KEYBOARD DESIGN_FEATURES is negative;".

Embodiment 2

[0110] In this embodiment, the system accepts a natural language sentence and outputs two-tuple information. The process is as follows:

[0111] 1. The system receives a natural language sentence: The Dell is quick enough but not good with finger prints.

[0112] 2. The system extracts the word information vector Words;

[0113] 3. The system calculates the alignment probability feature vector AlignmentProbabilities according to the alignment probability table;

[0114] 4. The system extracts phrase feature vector Phrases according to the extracted phrase table;

[0115] 5. Input the features of steps 2, 3, and 4 into the aspect recognition model, and find two aspect categories whose output scores are higher than the threshold of 0.14: LAPTOP#OPERATION_PERFORMANCE, LAPTOP#QUALITY;

[0116] 6. The system judges that the emotional tendency of LAPTOP#OPERATION_PERFORMANCE in the sentence is positive;

[0117] 7. The system judges that the emotional tendency of LAPTOP#QUALITY ...

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Abstract

The invention proposes a method for analyzing emotion-involved text data in a computer. The method comprises the steps of constructing an artificial language, training an alignment model, extracting a translation phrase, taking an alignment probability characteristic and a translation phrase characteristic as information characteristics of an aspect identification model, and performing emotional tendency judgment on an identified aspect type in combination with sentence information. Compared with an existing multi-aspect emotional analysis method, the method has the outstanding advantages that corresponding relationships between different text fragments of a sentence and different parts in output information are considered and key phrases rich in information can be utilized; and higher aspect identification precision can be obtained in a specific multi-aspect emotional analysis experiment.

Description

technical field [0001] The invention belongs to the field of computer text mining, in particular to an emotion-related text data analysis method in a computer. Background technique [0002] With the rise of e-commerce as a new way of shopping and marketplace, the analysis of user reviews of these online services and products has become very valuable and important. The emotional text data processing of online reviews can not only help users to purchase goods more efficiently and better, but also help merchants understand user needs and improve their own products. [0003] At present, the traditional sentimental text data processing technology is mainly aimed at a given piece of text, such as a whole piece of evaluation text, or a sentence, to predict the overall emotional tendency of the text. However, a user review often contains multiple evaluations of a product, and users may express different emotions for different aspects. For this situation, traditional processing tec...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/245
CPCG06F16/335G06F16/35G06F16/367
Inventor 戴新宇黄家君陈家骏黄书剑张建兵
Owner NANJING UNIV