社群網路的發展使文字的資料量大幅度的提升，這些資料具有高度的潛在價值，相關的文字探勘研究也日增月益。然而在更早以前即時通訊就已經作為溝通媒介被大量使用，其也有大量的文本可作為文字探勘的素材，卻鮮少有人對其進行分析。
本論文透過實驗設計不同即時通訊的環境，觀察受測者之間的溝通與討論，並以情緒強度代表受測者在主題討論時的投入程度。在情緒強度較高時代表其對主題的討論較投入，在情緒強度較低時代表其對主題的討論較不投入。故實驗設計的目的在於探討匿名性是否可以影響受測者在進行即時通訊時的情緒強度。
在語料庫的建立中，以實驗室設計法設計匿名與具名的網路討論環境，所有受測者在實驗中都會遇到兩種不同的討論環境，並設計與其課程相關的主題讓受測者進行討論。之後對其討論內容進行文字探勘與情緒分析。在情緒分析中使用字典法將斷詞結果與情緒字典(NTUSD)進行連結，並透過WordNet與SentiWordNet給予情緒詞彙的情緒強度(不慮正向或負向)，再根據不同的討論環境、主題與討論者進行結果分析。
由分析結果得知，討論者在進行討論時的情緒強度受到討論環境匿名性影響，且在匿名環境下情緒強度較高。在結論上，本研究認為在企業會議、學校專題等此種有明確討論主題的情況下，匿名環境的討論者情緒強度較高，更能不忌諱的投入討論。

Social networks have recently become a valuable resource of text mining. Research on various types of social networks has gained much attention recent years. However, far too little attention has been paid to instant messaging, which is a format of computer-mediated communication (CMC) and contains a huge amount of text data.
Laboratory experiment method approach was employed to build text corpus. Participates of the experimental attended two different discussion environments: anonymous and onymous. Subject in each discussion environment would discuss a specific social issue. After words segmentation, words were marked as a sentiment word by using sentiment dictionary: NTUSD and given a sentiment score by linking WordNet and SentiWordNet. This study use sentiment score to indicate the degree of emotional level of each individual who participated in the social issue discussion. Higher sentiment score indicates more emotional during the discussion.
The results showed that Internet anonymity have significant effects on the sentiment scores. In conclusion, anonymity environment will make discussants more emotional, and may result in, a more thorough discussion.

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