本文選題：APP軟件 + 軟件評(píng)價(jià)��； 參考：《昆明理工大學(xué)》2017年碩士論文

【摘要】：隨著社會(huì)快速發(fā)展,移動(dòng)智能終端發(fā)展也慢慢超過(guò)個(gè)人電腦,與之伴隨出現(xiàn)APP軟件爆發(fā)增長(zhǎng)。應(yīng)用商店的出現(xiàn)減少用戶(hù)尋找APP軟件的難度,人們?cè)诓恢挥X(jué)中已經(jīng)在享受其帶來(lái)的便利。然而,應(yīng)用商店對(duì)于APP軟件審核不全面,劣質(zhì)、仿冒、惡意的APP軟件乘虛而入,給眾多用戶(hù)帶來(lái)不必要的麻煩。所以,研究如何判斷APP軟件的優(yōu)劣是具有重要意義的。用戶(hù)通過(guò)發(fā)表評(píng)論來(lái)評(píng)價(jià)APP軟件的好壞,因此通過(guò)用戶(hù)評(píng)論可以分析出APP軟件的好壞。但應(yīng)用商店中APP軟件的用戶(hù)評(píng)論存在無(wú)約束性,這也給評(píng)價(jià)APP軟件造成了阻礙。因此,研究APP軟件用戶(hù)評(píng)論是否有關(guān)也顯得極其重要。APP軟件不同于一般軟件,針對(duì)用戶(hù)的APP軟件評(píng)價(jià)方法并不完善且存在著如下問(wèn)題:(1)APP軟件具有一般軟件不具有的特點(diǎn),不能完全使用一般軟件評(píng)價(jià)方法對(duì)APP軟件進(jìn)行評(píng)價(jià)。(2)APP軟件用戶(hù)評(píng)論具有簡(jiǎn)短性、強(qiáng)傾向性,同時(shí)也具有隨意性、自由性,這對(duì)APP軟件評(píng)價(jià)帶來(lái)困難。為了解決上述問(wèn)題,本文提出了篩選APP軟件用戶(hù)評(píng)論的方法并提取描述APP軟件某方面特征或用戶(hù)情感表達(dá)的詞,同時(shí)根據(jù)提取的詞提出APP軟件評(píng)價(jià)方法,最后基于篩選后的用戶(hù)評(píng)論進(jìn)行APP軟件評(píng)價(jià)。在此期間,主要完成了如下工作:(1)針對(duì)APP軟件用戶(hù)評(píng)論自由性、隨意性問(wèn)題,基于樸素貝葉斯分類(lèi)算法和詞頻統(tǒng)計(jì)方法建立了篩選APP軟件用戶(hù)評(píng)論方法,并獲取APP軟件的特征詞庫(kù);(2)提出了一種針對(duì)APP軟件的評(píng)價(jià)模型。(3)建立APP軟件評(píng)價(jià)模型指標(biāo)的度量方法。(4)利用灰色系統(tǒng)理論的灰色關(guān)聯(lián)計(jì)算評(píng)價(jià)指標(biāo)權(quán)重。(5)通過(guò)實(shí)驗(yàn)并驗(yàn)證方法的有效性。
[Abstract]:With the rapid development of society, the development of mobile intelligent terminals is also slowly surpassing that of personal computers, which is accompanied by the explosion of APP software. The advent of app stores makes it easier for users to find APP software, and people are already enjoying the convenience it brings. However, the application store does not audit the APP software comprehensively, inferior, fake, malicious APP software to take advantage of the false entry, to many users unnecessary trouble. Therefore, it is of great significance to study how to judge the merits and demerits of APP software. Users evaluate the quality of APP software by issuing comments, so they can analyze the quality of APP software by user comments. However, user reviews of APP software in the app store are non-binding, which also hinders the evaluation of APP software. Therefore, it is very important to study whether the user comments of APP software are relevant. App software is different from general software. The evaluation method of APP software for users is not perfect and the following problems exist. It is difficult to evaluate APP software by using general software evaluation method, which is short, strong tendency, random and free. In order to solve the above problems, this paper proposes a method to screen APP software user comments and extract words describing some aspects of APP software or user emotion expression. At the same time, according to the extracted words, a APP software evaluation method is proposed. Finally, the APP software is evaluated based on the filtered user comments. During this period, the main work is as follows: (1) aiming at the problem of APP software users' comment freedom and arbitrariness, this paper establishes a APP software user comment screening method based on naive Bayesian classification algorithm and word frequency statistics method. And get the characteristic lexicon of APP software. (2) this paper presents an evaluation model for APP software. (3) A measure method of establishing evaluation model index of APP software. 4) using grey relation of grey system theory to calculate the weight of evaluation index. 5) through real application, the evaluation index weight of APP software is calculated by using the grey relation theory. Verify and verify the effectiveness of the method.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TP311.56

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