本文選題：屬性歸類 + 條件句　； 參考：《大連理工大學(xué)》2012年碩士論文

【摘要】：本文主要分析產(chǎn)品屬性的情感傾向性。由于語(yǔ)言習(xí)慣不同,人們?cè)趯?xiě)評(píng)論時(shí)對(duì)同一種產(chǎn)品屬性會(huì)采用多種表達(dá),需要對(duì)這些不同的表達(dá)進(jìn)行歸類,另外人們也會(huì)采用不同的句型,需要對(duì)特殊句型中屬性的傾向性進(jìn)行處理。本文的工作主要分為兩個(gè)相連的部分：屬性歸類和條件句中屬性的傾向性分析。 本文對(duì)屬性進(jìn)行歸類時(shí),考慮到同類屬性雖然有不同的描述,但是在句中卻和相同的情感詞搭配使用,因此,首先抽取評(píng)論句中屬性和情感詞的搭配關(guān)系,形成一個(gè)二部圖,然后用權(quán)重標(biāo)準(zhǔn)化SimRank計(jì)算不同屬性之間的相似度,并把所得的結(jié)果與半監(jiān)督學(xué)習(xí)中的貝葉斯分類器進(jìn)行融合,得到了更好的分類結(jié)果。 本文分析條件句中的屬性傾向性時(shí),首先識(shí)別條件句,其次分析屬性傾向性。條件句中一般都含有條件連接詞,但是有些條件句中沒(méi)有條件連接詞,稱為隱式條件句。經(jīng)過(guò)觀察,發(fā)現(xiàn)隱式條件句中含有一些體現(xiàn)條件關(guān)系的詞,稱之為隱式條件詞。識(shí)別條件句時(shí),主要依據(jù)條件連接詞和隱式條件詞及其詞性以及分類序列規(guī)則進(jìn)行分類；分析屬性傾向性時(shí),依據(jù)條件連接詞和隱式條件詞把條件句分為假設(shè)條件句、讓步條件句、特定條件句和無(wú)條件句四類,并把條件句的類別用于SVM分類。通過(guò)實(shí)驗(yàn)證明了本文方法的有效性。
[Abstract]:This paper mainly analyzes the emotional orientation of product attributes. Because of the different language habits, people will use a variety of expressions for the same product attributes when writing comments, which need to be classified. In addition, people will also adopt different sentence patterns. We need to deal with the tendency of attributes in special sentence patterns. The work of this paper is divided into two parts: attribute categorization and attribute tendency analysis in conditional sentences. When classifying attributes, this paper takes into account that similar attributes are different in description, but they are used with the same affective words in sentences. Therefore, first of all, the collocation of attributes and affective words in comment sentences is extracted to form a bipartite graph. Then the similarity between different attributes is calculated by using weighted standardized SimRank, and the result is fused with the Bayesian classifier in semi-supervised learning to get a better classification result. In this paper, we first identify the conditional sentence and then analyze the attribute tendentiousness. Conditional sentences generally contain conditional connectives, but in some conditional sentences there are no conditional connectives, which are called implicit conditional sentences. After observation, it is found that there are some words in implicit conditional sentences, which are called implicit conditional words. In identifying conditional sentences, they are mainly classified according to conditional connectors, implicit conditional words and their parts of speech and classification sequence rules, and conditional sentences are classified into hypothetical conditional sentences according to conditional connectors and implicit conditional words when attribute tendency is analyzed. Concessional conditional sentence, specific conditional sentence and unconditional sentence are divided into four categories, and the category of conditional sentence is used in SVM classification. The effectiveness of this method is proved by experiments.
【學(xué)位授予單位】：大連理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：H043

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本文編號(hào)：1785347