本文選題：輿論傾向性 + 跟蹤統(tǒng)計(jì)量��； 參考：《統(tǒng)計(jì)與信息論壇》2013年01期

【摘要】：從統(tǒng)計(jì)學(xué)視角審視網(wǎng)絡(luò)輿論傾向性的監(jiān)測(cè)問(wèn)題,提出了以粗糙分類器為基礎(chǔ)建立輿論傾向性分類模型,將復(fù)雜的預(yù)警指標(biāo)體系簡(jiǎn)化為單一直觀的跟蹤統(tǒng)計(jì)量,并通過(guò)跟蹤統(tǒng)計(jì)量動(dòng)態(tài)跟蹤輿論傾向性變化軌跡的研究方法。實(shí)證研究以2011年"郭美美事件"相關(guān)新聞跟帖為對(duì)象。分析表明,網(wǎng)絡(luò)輿論的消極傾向性在整個(gè)事件發(fā)展過(guò)程中呈持續(xù)增長(zhǎng),與基本事實(shí)相符,證實(shí)了方法的可行性和適用性。
[Abstract]:From the perspective of statistics, this paper examines the monitoring of the tendency of public opinion on the network, and puts forward a classification model of opinion orientation based on rough classifier, which simplifies the complex early warning index system into a single intuitionistic tracking statistic. And through tracking statistics dynamic tracking of public opinion trend change trajectory research method. The empirical study takes the 2011 Guo Meimei incident news post as the object. The analysis shows that the negative tendency of network public opinion continues to increase in the course of the whole event, which is consistent with the basic facts and proves the feasibility and applicability of the method.
【作者單位】： 中國(guó)人民大學(xué)應(yīng)用統(tǒng)計(jì)科學(xué)研究中心;中國(guó)人民大學(xué)統(tǒng)計(jì)學(xué)院;
【分類號(hào)】：TP393.09

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本文編號(hào)：1872816