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Study on the Analysis for Chinese Opinion Question and Comparative QA

Author: HuangGaoHui
Tutor: YaoTian
School: Shanghai Jiaotong University
Course: Applied Computer Technology
Keywords: Chinese emotional problems Question classification Compare type of emotional Answers Comparative Sentences Conditional random field model
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 85
Quote: 0
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Abstract


Traditional Q \u0026 A system is a question of fact for emotional problems at home and abroad are still very rare. The so-called emotional problems is to ask another person, group or organization's views on a topic or event, emotion, attitude and comments. Emotional problems can more directly express ideas and emotions tendency, so prevalent in everyday life. Emotional Answers methods requires not only the traditional Q \u0026 A system technology, will also be involved in opinion mining, comparative relationship analysis technology. In this article, we are the Chinese emotional issues and Chinese comparison type emotions Answers do research and exploration. First of all, from the questions submitted by the user to identify the emotional problems, support vector machine and naive Bayesian algorithms classifier to classify the emotional and factual issues, and achieved good results. Then, from the point of view of the syntax and semantics of the Chinese sentiment analysis and extraction problems other critical information. Syntax level C4.5 decision tree algorithm will be classified as non-questions, four types of negative questions, selected questions and refers specifically to questions; semantic level, this paper, the definition given a semantic classification system for Chinese emotional problems, including Holder, Topic, Sentiment, Time, Location and Reason six major categories, each category is subdivided into a number of small classes. At the same time, we HowNet sememe question word property is characterized by the classification of the Chinese emotional problems in the major categories on the semantic, in the case of narrow characteristic dimension, obtaining better classification results. Emotional problems, asked a class of problems is the emotional contrast between objects of different things, we kind of emotional problem is called the comparison type of emotional problems. Due to such emotional issues as well as answers to questions are often comparative sentences This article Comparative Sentences do in-depth research, including the identification and comparison of Comparative Sentences relation extraction. We use conditional random field model extraction field of entity objects, and apply it to compare the sentence recognition and comparison relation extraction achieved good experimental results. The end of this article, combined with the Comparative Sentences research work, analysis of the general process of the Chinese compare the type of emotion answering system.

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