這篇純筆記,怕以後找書不記得書名。

Bo Pang and Lillian Lee 的新書--Opinion Mining and Sentiment Analysis,有線上版可以直接看喔,想訂書請按這裡
以下是這本書的abstract:

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object.

在我們搜集資訊的過程中,很重要的一的部份是了解其他人在想些什麼。隨著線上評論網站以及部落格的興起,我們越來越容易取得含有使用者意見的資訊。所以新的機會與挑戰是--人們如何利用資訊科技主動地去挖掘以及了解其他人的意見,也因此,最近關於意見發掘與情緒分析的研究如雨後春筍般出現,像是如何利用演算法找出並且歸類文章裡的意見、情緒及主觀性。

This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. Our focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. We include material on summarization of evaluative text and on broader issues regarding privacy, vulnerability to manipulation, and economic impact that the development of opinion-oriented information-access services gives rise to. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. 

我們統整了與意見分析相關的技術及方法,相對於傳統以事實分析為主的系統,本書的重點在怎麼建構對於情緒敏感的應用系統,例如分析文章的摘要系統,我們必須更廣泛地考量隱私性、置入性行銷的可能性、以及經濟的影響力等等。為了利於將來的研究,我們也將討論了目前可使用的研究資源、評比資料以及評量方法。
創作者介紹

iron.snow.ball

ironsnow 發表在 痞客邦 PIXNET 留言(2) 人氣()


留言列表 (2)

發表留言
  • ys
  • 可以多講一點sentiment analysis 嗎?特別是怎麼去收集讀者的sentiment的方法等...
  • 我不是這方面的專家,我知道的 sentiment analysis 主要是以 binary sentiment classification 為主,像是如何收集帶有情緒的單字, eg. wonderful, awful, great .....,這類的字很多,光是人工列表會不完整,所以用電腦分析字句找出有情緒意義的單字,會找出像是"!"(exclamation mark)或是 "poetic" 這樣意想不到的字。

    除了單字以外,還需要 rhetoric analysis,像是 "it is not good" 是「不好」不是「好」,或是更隱喻性的講法。

    ironsnow 於 2008/08/09 02:12 回覆

  • xavier
  • 讓人聯想到百米跑出9秒68的"Tyson Gay",自動轉成"Tyson Homosexual"的新聞事件.