本文選題：框架語義 + 語義詞典　； 參考：《山西大學》2016年碩士論文

【摘要】：隨著Web2.0技術(shù)的發(fā)展成熟,人們的生活和工作都受到互聯(lián)網(wǎng)應(yīng)用的影響而發(fā)生著改變,Web2.0理念中將網(wǎng)站和瀏覽者之間的交流放在了很重要的位置,用戶不僅是瀏覽網(wǎng)站信息的人,也是創(chuàng)建網(wǎng)站信息的主體。人們從被動接受信息逐漸轉(zhuǎn)變?yōu)橹鲃訉ふ液桶l(fā)布信息,這些信息成為寶貴的資源。網(wǎng)絡(luò)上的信息根據(jù)其語義內(nèi)容可以分為客觀性信息和主觀性信息。在Web2.0環(huán)境下,出現(xiàn)了大量的主觀性信息,如用戶在博客中表達的觀點,在電子商務(wù)網(wǎng)站發(fā)布的商品評論信息等。對這類信息的處理對政府、相關(guān)機構(gòu)、企業(yè)乃至電子商務(wù)運營商等都具有巨大的價值。而由于信息量的龐大,人工分析費時費力,我們迫切需要一些技術(shù),能夠有效地處理網(wǎng)絡(luò)上的主觀性信息。通過對文本的語義分析可以實現(xiàn)較高精度和深度的主觀性內(nèi)容挖掘,但是,中文信息處理缺少語義詞典和語料庫以及對語義資源的管理來對語義分析進行有效的支撐。論文以中文情感語義框架資源為基礎(chǔ),提供情感語義資源編輯系統(tǒng)和情感語義資源本體的方案,對語義資源進行有效的集合和管理。本文的具體研究內(nèi)容如下:本文首先對國內(nèi)外情感語義現(xiàn)狀進行了簡要介紹,并且闡述了現(xiàn)有的情感語義資源的不足,總結(jié)出一種新的中文情感語義表示方法,主要以框架語義理論為核心,介紹了以框架為基礎(chǔ)的情感語義表達模型以及中文框架語義語料標注的方法。在充分分析的基礎(chǔ)上,運用Java語言構(gòu)建一個中文情感語義資源管理平臺,它有兩方面的功能,一是情感語義資源的編輯、修改和展示功能,二是用本體組織該資源。情感語義資源編輯系統(tǒng)是面向人的,既包括情感資源的構(gòu)建者,也包括瀏覽者。在具體分析了系統(tǒng)需求的前提下,實現(xiàn)了用戶管理、框架編輯、詞元編輯、情感語料庫標注和情感語義資源瀏覽的功能,方便用戶對情感語義資源的了解和使用。中文情感框架本體的構(gòu)建是面向機器的,用規(guī)范化的描述體系使其成為機器可讀、可理解的情感語義資源,實現(xiàn)概念化的推理和智能化的情感挖掘應(yīng)用,為語義的分析和觀點挖掘提供了強大的支撐。
[Abstract]:With the development of Web2.0 technology, people's life and work are affected by the Internet application, so the concept of Web 2.0 has changed the communication between the web site and the viewer is very important, the user is not only the person who browses the website information. Also is the main body that creates the website information. People gradually change from passively receiving information to actively seeking and publishing information, which becomes a valuable resource. The information on the network can be divided into objective information and subjective information according to its semantic content. In the environment of Web2.0, a large number of subjective information appeared, such as the views expressed by users in blogs, commodity reviews published on e-commerce websites, and so on. The processing of this kind of information is of great value to government, relevant organizations, enterprises and even e-commerce operators. Due to the huge amount of information and the time-consuming and laborious manual analysis, we urgently need some techniques to deal with the subjective information on the network effectively. Through semantic analysis of text, we can realize subjective content mining with high accuracy and depth. However, Chinese information processing lacks semantic dictionary, corpus and management of semantic resources to effectively support semantic analysis. Based on the Chinese affective semantic framework resources, this paper provides a scheme of affective semantic resource editing system and affective semantic resource ontology, which can effectively collect and manage semantic resources. The main contents of this paper are as follows: firstly, the present situation of emotional semantics at home and abroad is briefly introduced, and the deficiency of existing affective semantic resources is expounded, and a new method of expressing emotional semantics in Chinese is summarized. Based on the frame semantic theory, this paper introduces the frame based emotional semantic expression model and the method of Chinese frame semantic corpus annotation. On the basis of full analysis, a Chinese affective semantic resource management platform is constructed by using Java language. It has two functions, one is editing, modifying and displaying emotional semantic resources, the other is organizing the resources with ontology. The affective semantic resource editing system is human oriented, including both the constructor and the viewer. Based on the detailed analysis of the system requirements, the functions of user management, frame editing, lexical element editing, emotional corpus annotation and emotional semantic resources browsing are realized, which is convenient for users to understand and use emotional semantic resources. The construction of Chinese affective frame ontology is machine-oriented. It is made into a machine-readable and comprehensible emotional semantic resource by using a standardized description system to realize conceptualized reasoning and intelligent affective mining applications. It provides a strong support for semantic analysis and viewpoint mining.
【學位授予單位】：山西大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TP311.52;G250.74

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本文編號：1794143