September 2013
Intermediate to advanced
264 pages
5h
Chinese
Content preview from Bad Data 技術手冊
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第六章：在矛盾的線上評論中偵測謊言以及混亂的狀況
Weotta
Weotta
1
是我的公司，我們以使用者實際關心的方式，來生產應用程式和 API 給人們瀏
覽本地資料，所以我們會回答如下的問題：附近有適合小朋友的餐廳嗎？最近的瑜珈中
心在哪？本周有什麼演唱會嗎？
要做到這件事，我們要分析、聚集並且組織本地的資料，然後依照我們用來回答問題的
方式分類它們。這個分類的程序讓我們能夠知道，有什麼餐廳是漂亮的，哪些酒吧很特
別或是第一次約會應該要去哪裡。線上的商業評論是其中一個我們用來決定分類的輸入
資訊。評論能夠告訴我們評論者是持正面或是負面的意見，也能告訴我們他們所關心的
事情，如服務品質、氣氛以及價值。當我們聚集這些評論時，我們能夠知道該地點受歡
迎的事物以及為什麼人們喜歡或是討厭它。除了評論，我們也使用許多其他的資訊，但
是若搭配適當的自然語言處理應用程式
2
，評論則是很豐富的重要資訊。
取得評論
要取得評論，可以的話我們會使用 API，但多數的評論都必須要使用傳統從網頁上抽取
資料的方式取得。若你能夠使用像 CityGrid
3
的 API 來取得你所需的資料，那麼一切就很
簡單了，因為雖然從網頁上抽取資料不一定很困難，但它通常會非常令人挫折。網站的
HTML 常會未經通知就變更，而只有最簡單或是最厲害的網頁資料抽取程式不會受到影
響。但大多數的網頁資料抽取程式就算遇到最小的 HTML 變更都有可能無法運作，強制
你要持續的監控並且維護程式。這是網路探勘資料的黑暗祕密：最終的結果可能是很好
且無瑕的資料，但整個程序比較像是雜工要做的事情，每件雜事都是獨一無二的並且無 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.