以文字探勘對行動遊戲進行軟體品質特徵分析

Applying Text Mining Technique to Analyze the Software Quality Characteristics of Mobile Games

吳尚緯(Shang-Wei Wu)

指導教授 ： 林勢敏

國立屏東科技大學/管理學院/工業管理系所/碩士(2013年)

https://doi.org/10.6346/NPUST.2013.00187

摘要

近幾年隨著行動科技的長足進步，使用智慧型手機及平板電腦的人數日漸增加，帶動行動軟體蓬勃發展，吸引眾多行動軟體開發者投入應用程式開發，競爭越來越激烈。開發者往往投入大量人力與心血，卻因為未能抓住消費者對軟體品質的需求而未獲青睞。本研究運用文字探勘技術提出一個系統性的內容分析方法，對行動軟體的線上評論進行分析，以歸納出影響行動軟體分數評價的重要軟體品質特徵。該系統性的內容分析方法先將軟體的線上評論資料以中文斷詞系統進行斷詞前處理，接著從斷詞中篩選出軟體品質特徵詞，以N-gram演算法重組斷詞文字配合消費者的評分判斷特徵詞在每一則線上評論中的正向或負向詞性，然後將每一則線上評論依其詞性進行品質特徵編碼，最後使用類神經網路學習品質特徵詞與消費者評分間的因果關係，從而歸納出重要品質特徵屬性及特徵屬性的正向或負項評論對於遊戲軟體評價分數的影響。為了驗證本研究所提出之方法，本研究以Apple App Store Taiwan的行動遊戲軟體為例，收集其上的線上評論資料進行分析，分析的結果可以提供給軟體開發者了解自己軟體在消費者評論中所呈現的品質評價作為改善參考之依據。

關鍵字

行動軟體 ； 線上評論 ； 文字探勘 ； 應用程式 ； 軟體品質特徵

並列摘要

The great progress and the pervasive uses of mobile technology have been leading to the rapid growth of smartphone and tablet users, which gets more and more software developers to engage in the development of mobile games. The competition in the mobile application market has thus become more and more fierce. Unfortunately, though investing huge human and financial resources in it, most of them fail to come up with satisfying software applications that meet consumers’ quality requirements. This study aims at proposing a systematic content analysis method using text-mining technique to analyze online reviews of mobile games with a view to identifying their critical software characteristics. The content analysis approach applies the Chinese word segmentation system and the N-gram algorithm to determine the positive or negative sentiments of characteristics in the online reviews, encodes the reviews in terms of the sentiments of characteristics (input) and their rating scores (output), and then feeds the encoded reviews to the Artificial Neural Networks to train a causal model for the online reviews. The model can accordingly be used to identify the important characteristics of mobile games. To evaluate the validity of our proposed approach, this study collected and analyzed the online reviews posted in the Apple App Store Taiwan. The analysis results can be a reference model for software developers to develop and improve their application products.

並列關鍵字

Mobile application ； Online review ； Text mining ； Application software ； Software quality characteristics

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