网络流行体舆情信息的情感倾向研究

发布时间：2018-04-05 12:01

本文选题：网络流行体　切入点：舆情信息　出处：《河北大学》2013年硕士论文

【摘要】：网络流行体是对所有网络语言文体（如咆哮体、淘宝体、TVB体、元芳体等）的一个总称。它是伴随着网络发展而产生的流行文体。网络流行体舆情信息是网民对网络流行体及其使用状况的评论文本，其中蕴含着评论者或褒或贬的感情倾向。目前，学术界对网络流行体的研究比较分散，主要涉及传播学、模因论、修辞学等领域，而对网络流行体舆情信息的研究几乎不存在。从语言学角度对网络流行体的舆情信息进行研究，不仅能在一定程度上引导人们正确的看待网络流行体，也能为语言学其他方面的研究提供参考和素材，，因而网络流行体的舆情分析是十分有必要的。本研究主要以网络流行体的评论文本为研究对象，以情感分析研究为理论基础，从词语、句式、符号等方面进行分析，从而归纳出具有表达情感倾向的语言标记，即分析网民在对网络流行体进行评论时所使用的词语、句式和语言符号是否可以用情感倾向表达式来进行描述。本文共分为六部分，第一章绪论，主要介绍本研究的选题背景、意义、研究对象、语料来源、研究方法和研究现状。第二章舆情信息的采集和整理，主要说明了语料的采集整理过程、整理结果以及网络流行体舆情信息的语言特点，并根据对词语、句子等进行情感倾向的分布统计，以便选择相关对象进行研究。第三章、第四章分别从词语、句子层面对网络流行体评论的正面、负面、中性及无倾向三个方面做了分析，总结出每个倾向的相关情感表达式，并用评论语料中的例句加以说明。第五章，标点、表情、字母数字符号的语言学研究，主要对标点符号、表情符号、字母数字所蕴含的倾向性及语用功能进行了研究。第六章结语，说明了从语言学角度进行网络流行体舆情信息研究的意义，并展望了下一步的工作。本文共分析了17个词语、3类句式、18个标点、表情、字母数字符号，共得出109条情感表达式，并总结出词语、句子、标点、表情、字母数字符号在表达情感程度上的差别，以及正、负、中性倾向在表达手段上的不同之处，这些为计算机准确智能地识别说话人的情感提供了依据，也为网络流行体其它方面的研究准备了材料。
[Abstract]:Internet fashion is a general name for all online language styles (such as roaring, Taobao, TVB, Yuanfang, etc.).It is accompanied by the development of the network and the emergence of popular style.Internet popular public opinion information is a kind of comment text about internet fashion and its usage, which contains the sentiment tendency of commenters or praises or derogations.At present, the academic research on the network popular body is scattered, mainly involving the fields of communication, memetics, rhetoric and so on, but the research on the network popular body public opinion information almost does not exist.To study the public opinion information of the network pop body from the linguistic angle, not only can guide people to treat the network popular body correctly to a certain extent, but also can provide the reference and the material for the other aspects of linguistics research.Therefore, it is very necessary to analyze the public opinion of the network popular body.In this study, the comments of the popular online texts are taken as the research object, and the emotional analysis is used as the theoretical basis to analyze the words, sentence patterns, symbols and so on, so as to conclude the linguistic markers with the tendency to express emotion.That is to say, whether the words, sentence patterns and language symbols used by Internet users can be described by the expression of emotional tendency.This paper is divided into six parts. The first chapter introduces the background, significance, research object, corpus source, research methods and research status.The second chapter is the collection and arrangement of public opinion information, which mainly explains the process of collecting and arranging the corpus, the result of the collection and the language characteristics of the popular public opinion information on the network, and according to the distribution statistics of the affective tendency of words, sentences and so on.In order to select relevant objects for research.The third chapter, chapter four analyzes the positive, negative, neutral and non-tendency of the comments on the network popular body from the word, sentence level, and summarizes the relevant emotional expressions of each tendency.Use the example sentence in the comment corpus to explain.Chapter five, linguistic study of punctuation, emoji and alphanumeric symbol, mainly studies the tendency and pragmatic function of punctuation, emoji and alphanumeric.The sixth chapter explains the significance of the research on popular public opinion information from the linguistic point of view, and looks forward to the next work.The differences of positive, negative and neutral tendency in expression methods provide the basis for the computer to recognize the speaker's emotion accurately and intelligently, and also prepare the materials for the research of other aspects of the network popular body.
【学位授予单位】：河北大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：H136

【参考文献】