【摘要】：在過去的二三十年內(nèi),網(wǎng)上購物深刻地影響著我國廣大普通消費者的消費行為,同時對于企業(yè)來說,在面臨新興的電子商務市場時,應該充分發(fā)揮其在生產(chǎn)和銷售等環(huán)節(jié)的指導和決策作用。在電子商務網(wǎng)站上有大量的商品評論數(shù)據(jù),這些數(shù)據(jù)對營銷策略具有很重要的指導意義�？梢酝ㄟ^分析商品評論文本,確定自己產(chǎn)品優(yōu)缺點、與競品對比等。但是并沒一款適合的軟件滿足企業(yè)的需求,所以作者所在公司的部門提出建立一個商品評論情感分析系統(tǒng),為業(yè)務部門提供技術(shù)支持。 本文以手機產(chǎn)品的評論為例進行深入的研究,目標是建立一套完整的商品評論情感分析系統(tǒng),應用于分析手機產(chǎn)品的優(yōu)點和缺點。本人參與了系統(tǒng)從分析到應用的全部過程,首先完成原始評論文本的處理,包括分詞和詞性標注等。其次嘗試多種文本分類方法,進行優(yōu)選,確定并實現(xiàn)適合于手機產(chǎn)品使用的分類方法,并建立大量文本分類規(guī)則庫。然后探索不同的文本情感分析方法,比較這些方法的優(yōu)缺點,選出最合適的方法并實現(xiàn),最后完成商品評論情感分析系統(tǒng)。在系統(tǒng)的實現(xiàn)過程中建立了文本分類庫和文本規(guī)則庫,并通過訓練數(shù)據(jù),建立了貝葉斯情感分類模型。 在商品評論情感分析系統(tǒng)完成后,根據(jù)客戶的反饋意見,不斷進行測試修改,在此過程中積累了大量文本分析的經(jīng)驗,逐步提高了分析結(jié)果的準確度,并將該方法應用到產(chǎn)品銷售的各個方面。已經(jīng)為多款產(chǎn)品提供了完整全面的商品評論分析報告,實現(xiàn)了商品評論情感分析的目的。
[Abstract]:In the past two or three decades, online shopping has profoundly affected the consumer behavior of the vast majority of ordinary consumers in our country. At the same time, for enterprises, when facing the emerging e-commerce market, Should give full play to its production and sales and other links of guidance and decision-making role. There are a lot of commodity review data on e-commerce website, these data have very important guiding significance to marketing strategy. Through the analysis of commodity review text, determine their own product strengths and weaknesses, and competitive products and so on. But there is not a suitable software to meet the needs of the enterprise, so the department of the company proposed to establish a commodity review emotional analysis system to provide technical support for the business department. This paper takes the mobile phone product comment as an example to carry on the thorough research, the goal is to establish a set of complete commodity comment emotion analysis system, applies to analyze the mobile phone product the merit and the shortcoming. I participated in the whole process from analysis to application. First, I completed the processing of the original comment text, including participle and part of speech tagging. Secondly, we try a variety of text classification methods, select the best, determine and implement the classification methods suitable for mobile phone products, and establish a large number of text classification rules database. Then explore different text emotional analysis methods, compare the advantages and disadvantages of these methods, select the most appropriate method and implement, and finally complete the commodity review emotional analysis system. The text classification database and text rule database are established in the process of implementation of the system, and Bayesian emotional classification model is established by training data. After the completion of the commodity review emotional analysis system, according to the feedback of the customer, the testing and modification are carried out continuously. In the process, a large number of experience of text analysis has been accumulated, and the accuracy of the analysis results has been improved step by step. The method is applied to all aspects of product sales. Has provided a complete and comprehensive commodity review analysis report for a number of products, achieving the purpose of commodity review emotional analysis.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TP391.1

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