本論文提出並實作一個應用意見探勘的方法在中文電影評論語料上，系統自 動對電影做評分與網路上已有的電影評價來比較。本論文的主要貢獻如下:
1. 建立 226 部電影資料庫，資料庫包含評論內容、評論評價和電影網路評價。
2. 人工收集電影屬性詞並利用同義詞詞林將這些屬性詞擴充，最後我們將這些 電影屬性詞分成四種類別。
3. 我們利用標記語料建立意見詞詞性序列，並使用這些詞性序列擷取意見詞。
4. 建立專屬電影領域的意見詞及產生每個意見詞的分數。
5. 在意見詞分數方面，考慮副詞加強及否定詞反轉的效果。在中文語言句型方 面，提出句型結構來更準確地找出屬性詞與意見詞配對。
6. 比較系統自動產生每部電影總評分與網路上已有的電影評價。
在本論文的未來研究，有下列幾個方向:
1. 屬性詞自動化擷取及分類。
2. 在屬性詞分類方面，屬性詞不一定固定屬於一個類別而已，屬性詞可以同時 屬於不同類別並解決屬性詞語義歧義的問題。
3. 利用收集每部電影的意見詞，可以對電影加以分類。例如:電影常出現感動...
等意見詞，在這情況這部電影可能屬於劇情片。
4. 把電影評分系統應用在專家寫的電影評論，比較在不同語料、知識下的評分 效果。
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意義 50 過程 50 結尾 48 爆點 46 關係 46
對打 16 演戲 15 描述 15 刻 15 編排 15
主軸 4 故事性 4 床戲 4 營造 4 ending 3
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