本文關鍵詞： 網(wǎng)絡輿情 信息情感維度 關聯(lián)模型構建 信息情感空間 信息情感元 情感識別　出處：《吉林大學》2017年博士論文　論文類型：學位論文

【摘要】：在現(xiàn)今移動互聯(lián)網(wǎng)和大數(shù)據(jù)的時代背景推動下,網(wǎng)絡輿情在表達社情民意、民眾心聲方面發(fā)揮了前所未有的重要作用,輿情信息中蘊含的情感要素作為網(wǎng)絡輿情六大要素之一,在社會輿情空間內呈現(xiàn)出更強的巨量性、集聚性、突變性和復雜性,是網(wǎng)絡輿情發(fā)生發(fā)展過程的催化劑。黨的十八屆三中全會中提出健全堅持正確輿論導向和網(wǎng)絡突發(fā)事件處置機制,建立良好的網(wǎng)絡輿論工作格局。其中及時、精準、高效地把握網(wǎng)絡輿情參與民眾的情感變化趨向和規(guī)律是網(wǎng)絡輿情工作格局建設的內容之一,具有重要的理論和實踐意義。網(wǎng)絡輿情信息情感問題是信息學、心理學和計算機科學相融合的綜合性研究,目前已得到國內外相關研究學者的普遍關注,探究網(wǎng)絡輿情與信息情感相關的一系列研究問題成為本交叉領域的研究熱點,相關研究者也在輿情信息的傳播、監(jiān)測和危機管理等方面做了較多的探討。實際上網(wǎng)絡環(huán)境下輿情信息情感具有自身多維交互的動力作用空間,其背后隱藏著諸多極其敏感且可預測的情感變化規(guī)律,然而,目前研究成果中對于網(wǎng)絡輿情信息情感維度的分析研究尚未涉及,也未將網(wǎng)絡輿情信息情感問題放在具有維度結構的完整空間內進行系統(tǒng)建構和關聯(lián)解析,這也正是網(wǎng)絡輿情信息分析與監(jiān)測研究中亟待重點突破的研究課題之一。本研究帶著深入探尋網(wǎng)絡輿情信息情感維度空間規(guī)律的目的,以情報心理學、情感維度理論、情感計算和情感識別為理論和技術支撐,全面分析網(wǎng)絡輿情信息情感維度的內涵、特征、度量、關聯(lián)作用等,在此基礎上探討了網(wǎng)絡輿情信息情感維度空間的建立及子空間作用機制,對于網(wǎng)絡輿情信息情感維度空間中基本單位——信息情感元的概念、分布和語義庫構成等做了較全面的解析,對網(wǎng)絡輿情信息情感元識別目標、要素、模型進行了闡釋,并對論文提出的主要模型做了實證研究的嘗試,期望進一步表達和量化網(wǎng)絡輿情信息情感維度空間特征和演化規(guī)律,為網(wǎng)絡輿情情感計算領域研究提供基礎理論和技術參考。第一章緒論,主要闡述網(wǎng)絡輿情信息發(fā)展的時代和歷史背景、闡述了本研究課題的目的和意義,綜述國內外網(wǎng)絡輿情信息情感研究的現(xiàn)狀,并發(fā)現(xiàn)其中存在的關鍵問題作為本研究的基本出發(fā)點,分析研究中使用的方法和技術路線,最后概括了本文的主要研究內容及研究創(chuàng)新點。第二章相關理論綜述,闡述了信息論與全信息理論、心理學與情報心理學相關的基本情緒論、離散情感理論、情感維度理論、情感原型理論等幾種主要的研究理論;基于以上理論進一步將網(wǎng)絡輿情、信息情感和維度空間概念做了綜述和界定,同時對網(wǎng)絡輿情信息分析的度量方法做了分析和比較,最后對情感計算和情感識別理論和技術的發(fā)展研究以及在本研究的應用途徑做了闡述。第三章網(wǎng)絡輿情信息情感維度分析,依據(jù)情感維度相關理論和網(wǎng)絡輿情信息情感的特征和屬性分析,提出網(wǎng)絡輿情的信息情感維度概念,定義了網(wǎng)絡輿情情感各特征的內涵、要素,并通過案例分析對網(wǎng)絡輿情信息發(fā)展中各個維度的特征和表現(xiàn)做了深入探討,以此作為研究的出發(fā)點,為后續(xù)關于網(wǎng)絡輿情信息情感維度空間的構建做好研究鋪墊。第四章網(wǎng)絡輿情信息情感維度要素關聯(lián)模型的構建,首先對網(wǎng)絡輿情信息情感維度要素進行提取,對各個維度要素的關聯(lián)作用進行理論分析,進而構建關聯(lián)模型,最后驗證網(wǎng)絡輿情信息情感維度要素關聯(lián)模型,進一步闡釋網(wǎng)絡輿情信息情感維度的關聯(lián)性和演變規(guī)律。第五章網(wǎng)絡輿情信息情感維度的空間構建,基于前期網(wǎng)絡輿情信息情感維度的研究基礎,進一步提出了網(wǎng)絡輿情信息情感維度空間的概念、構成與特征,提出網(wǎng)絡輿情信息情感空間的構建原則,詳細闡釋了網(wǎng)絡輿情信息情感維度空間構建的心理學基礎,基于以上分析應用a-v-p心理學模型構建網(wǎng)絡輿情信息情感維度空間,進而闡述了情感維度空間中各多維情感綜合作用機制,總結了網(wǎng)絡輿情信息情感空間運動模式。第六章網(wǎng)絡輿情信息情感維度空間中情感元解析,首先闡釋網(wǎng)絡輿情信息情感元的概念,包括信息情感元的定義、空間特征和分類,剖析網(wǎng)絡輿情信息情感元與其所在空間的關聯(lián),探討多維信息情感元語義庫的組成方法,探索網(wǎng)絡輿情信息情感元在各個子空間中語義鴻溝的解決途徑,進而提出信息情感元關聯(lián)模型、語義判定流程和空間時序特征。第七章基于多維尺度的網(wǎng)絡輿情信息情感元的識別模型構建,首先提出網(wǎng)絡輿情信息情感元識別的總體框架,包括識別目標、技術方法等,進而提出網(wǎng)絡輿情信息情感元關聯(lián)度量影響模型,對網(wǎng)絡輿情信息情感元識別因素進行分析,最后優(yōu)化了歐式距離的多維尺度識別模型,期望將網(wǎng)絡輿情信息情感元放在空間概念下進行識別理論和方法上的嘗試。第八章實證研究,根據(jù)前期研究基礎,對網(wǎng)絡輿情信息情感數(shù)據(jù)進行采集、標注、預處理,然后根據(jù)網(wǎng)絡輿情信息情感維度空間聚類分析,對空間數(shù)據(jù)的分布特性、聚類方法、聚類模型進行比較和描述,最后根據(jù)前期研究的結果對網(wǎng)絡輿情信息情感維度子空間聚類結果、信息情感元識別結果、信息情感維度子空間隸屬頻率、信息情感元聚集性危機預警結果等進行分析和探討,進而闡釋了信息情感元對輿情演變影響的趨勢估計。第九章總結與展望,總結本文的研究工作、取得的創(chuàng)新成果和不足之處,并給出了進一步研究的設想。事實上,網(wǎng)絡輿情信息隱含的情感語義內容是具有隱含性、多維性、關聯(lián)性的一個較為完整的情感空間系統(tǒng),深入探尋網(wǎng)絡輿情信息情感維度空間及信息情感元如何關聯(lián)和相互作用,有助于深入探尋網(wǎng)絡輿情信息中情感數(shù)據(jù)的內在規(guī)律以及多維信息情感數(shù)據(jù)的作用空間范圍,從而為大數(shù)據(jù)網(wǎng)絡輿情的高效引導提供有益參考,提升輿情危機的預測、管理與導向的水平和能力。
[Abstract]:The mobile Internet and big data era to promote in nowadays, network of public opinion in the expression of public opinion, has played an important role in the hitherto unknown voice of the people, public opinion information contained in the emotional factors as one of the six elements in the network of public opinion, public opinion space presents stronger giant, agglomeration, mutation and the complexity is the catalyst development process of network public opinion. In the third Plenary Session of the 18th CPC Central Committee the party puts forward perfect insist on correct guidance of public opinion and network emergency disposal mechanism, establish the network public opinion work pattern is good. The timely, accurate, efficiently grasp the trend and rule of the emotion changes of network public opinion public participation is one of the network public opinion work pattern construction content. It has important theoretical and practical significance. The network public opinion information emotional problem is the integration of information science, computer science and psychology Comprehensive study, has received widespread attention in the related research scholars at home and abroad, to explore a series of problems related to the information of the network public opinion emotion has become a research focus in this cross domain, researchers also in the dissemination of information of public opinion, do more discussion on monitoring and crisis management and other aspects. The dynamic space of public opinion in fact, the emotional information under the network environment has its own multidimensional interaction, hidden behind many extremely sensitive and can predict the emotional changes, however, the current research achievements in the research on information emotional dimension of network public opinion has not yet been involved, nor will the complete spatial information network public opinion on the emotional problems with dimension structure within the system the construction and correlation analysis, which is one of the key breakthrough to the research network public opinion information analysis and monitoring. In this study, with a deep In search of network public opinion information emotion dimension space law, intelligence psychology, emotion theory, affective computing and emotion recognition as the theoretical and technical support, comprehensive analysis of the connotation, characteristics of network public opinion information emotional dimension, measure, correlation function, on the basis of the mechanism and the role of network public opinion information emotion subspace the dimension of space, the concept of network public opinion information in the basic unit -- emotion dimension space information emotional element, distribution and composition of semantic database analysis made more comprehensive, elements of the network public opinion information, emotional element object recognition model are explained, and the main model proposed in the thesis attempts to do empirical research. Expectations of further expression and quantification of network public opinion information emotion dimension space characteristics and evolution rules, to provide the theoretical basis and affective computing research field of network public opinion Technical reference. The first chapter is the introduction, mainly expounds the network public opinion of the development of information era and historical background, expounds the purpose and significance of this research, present situation of domestic and overseas network public opinion information emotion research, and find out the key problems in this study as the basic starting point, methods and techniques used in research and analysis at last, this paper summarized the main research content and innovation of the research. The second chapter reviews relevant theories, expounds the theory of information and the information theory, the basic emotions associated with intelligence psychology theory, discrete emotion theory, emotion theory, emotion theory and several prototype main research theory; based on the above theory to network public opinion, information and emotional dimensions of spatial concepts are discussed and defined, and the method of measurement and analysis of network public opinion information are analyzed and compared, finally. Study on the development of a sense of computing and emotion recognition theory and technology and application methods in this study are described in detail. The third chapter is the analysis of network public opinion information based on the characteristics and attributes of emotional dimension, emotional dimension analysis theory and network public opinion information of emotion, emotional dimension concept put forward the information of network public opinion, defines the connotation of network public opinion, the emotion the characteristics of the elements, and through the case analysis of the features and performance of each dimension in the development of network public opinion information is further analyzed, as the starting point of the research, for the subsequent construction of the network public opinion information emotion dimension space to do research groundwork. The fourth chapter is the structure of the network public opinion information emotion feature relation model, first on the network the emotional dimension elements of public opinion information extraction, theoretical analysis of correlation effect on each dimension elements, then construct the relational model, finally Verify the network public opinion information emotional factors related model, further information the emotional dimension of the relevance and interpretation of network public opinion evolution. The fifth chapter network public opinion information emotion dimension space construction, the former research network public opinion information based on the emotional dimension, further put forward the concept of network public opinion information emotion dimension space, composition and characteristics. The construction principles of network public opinion information emotional space, explains the psychological basis of network public opinion information emotion dimension space construction, the above analysis using a-v-p model of network public opinion information psychology emotion dimension space based on, and expounds the comprehensive function of the multidimensional emotion mechanism of emotional dimensions, summarizes the network public opinion information emotional space movement patterns. Sixth chapter network public opinion information emotion dimension space emotional element analysis, first explains the network public opinion letter The concept of information and emotional element, including the definition of emotional information element, spatial characteristics and classification, correlation analysis of network public opinion information emotional element with the space, explore the method of multidimensional information element emotion semantic database, explore the solution of network public opinion information emotional element in each sub space semantic gap, and then put forward the emotional information element correlation model, semantic feature and spatial temporal decision process. The seventh chapter construct the recognition model of network public opinion information emotional element based on multidimensional scaling, first put forward the overall framework of the network public opinion information emotion recognition, including target identification, technical methods, and then puts forward the network public opinion information emotional element association metric model, the network public opinion information emotion element identification factors were analyzed, and finally optimize multi dimension recognition model of Euclidean distance, the expectation of network public opinion information on the emotional element space Try to identify the concept of theory and method. The eighth chapter is the empirical research, based on previous research, information on emotional data online public opinion collection, annotation, pretreatment, and then according to the network public opinion information emotion dimension spatial clustering analysis, clustering distribution characteristics of spatial data, clustering models are compared and described. Finally, based on the previous research results of network public opinion information emotional dimension subspace clustering results, information element emotion recognition results, information emotion subspace membership information aggregation frequency, emotional element crisis warning results are analyzed and discussed, and then explain the emotional impact on the evolution of public opinion information element trend estimation. The ninth chapter is summary and outlook the research work, summarizes the achievements and deficiencies of innovation, and gives suggestions for further research. In fact, the network public opinion information hidden The semantic content is implicit, multi-dimensional, a more complete system of the relevance of the emotional space, further explore the emotional dimension of network public opinion information space and information element to emotional interrelation and interaction, is helpful to further explore the network of public opinion information according to the numbers of internal rules and multidimensional information data the role of emotion the space scope, so as to provide beneficial reference for efficient data guide network public opinion, enhance the prediction of public opinion crisis, guiding and management level and ability.

【學位授予單位】：吉林大學
【學位級別】：博士
【學位授予年份】：2017
【分類號】：C912.63
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本文編號：1451061