更改

原则上来说，情感分析系统的准确性就是它与人类判断的一致性程度。这通常由基于负面和正面文本这两个目标类别识别的查准率和查全率的变量来衡量的。这通常是衡量的不同措施的基础上的准确率召回率，超过两个目标类别的消极和积极的文本。然而，根据现有研究，人类评分员之间通常只有80%<ref name=":26" /> 的几率是达成一致的（参见评分者之间的信度Inter-rater reliability）。因此，一个情感分类的程序如果能够达到70%的准确率，那么尽管这样的准确率这听起来还不算引人注目，但它的表现已经和人工识别的表现得几乎一样好。同时需要注意的是，因为人类本身对任何情感分类的答案都可能有很大的不同意见，如果一个程序有100%的准确率，人类仍然会有20%的可能不同意其判断的结果。<ref name=":27" />

原则上来说，情感分析系统的准确性就是它与人类判断的一致性程度。这通常由基于负面和正面文本这两个目标类别识别的查准率和查全率的变量来衡量的。这通常是衡量的不同措施的基础上的准确率召回率，超过两个目标类别的消极和积极的文本。然而，根据现有研究，人类评分员之间通常只有80%<ref name=":26" /> 的几率是达成一致的（参见评分者之间的信度Inter-rater reliability）。因此，一个情感分类的程序如果能够达到70%的准确率，那么尽管这样的准确率这听起来还不算引人注目，但它的表现已经和人工识别的表现得几乎一样好。同时需要注意的是，因为人类本身对任何情感分类的答案都可能有很大的不同意见，如果一个程序有100%的准确率，人类仍然会有20%的可能不同意其判断的结果。<ref name=":27" />

Amigó, Enrique, Jorge Carrillo-de-Albornoz, Irina Chugur, Adolfo Corujo, Julio Gonzalo, Edgar Meij, [[Maarten de Rijke]], and Damiano Spina. "Overview of replab 2014: author profiling and reputation dimensions for online reputation management." In International Conference of the Cross-Language Evaluation Forum for European Languages, pp. 307-322. Springer International Publishing, 2014.

Amigó, Enrique, Jorge Carrillo-de-Albornoz, Irina Chugur, Adolfo Corujo, Julio Gonzalo, Edgar Meij, [[Maarten de Rijke]], and Damiano Spina. "Overview of replab 2014: author profiling and reputation dimensions for online reputation management." In International Conference of the Cross-Language Evaluation Forum for European Languages, pp. 307-322. Springer International Publishing, 2014.

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== Web 2.0 ==

== Web 2.0 ==

{{See also|Reputation management|web 2.0|web mining}}

{{See also|Reputation management|web 2.0|web mining}}

The rise of [[social media]] such as [[blogs]] and [[social network]]s has fueled interest in sentiment analysis.  With the proliferation of reviews, ratings, recommendations and other forms of online expression, online opinion has turned into a kind of virtual currency for businesses looking to market their products, identify new opportunities and manage their reputations.  As businesses look to automate the process of filtering out the noise, understanding the conversations, identifying the relevant content and actioning it appropriately, many are now looking to the field of sentiment analysis.<ref name="Mining the Web for Feelings, Not Facts">Wright, Alex. [https://www.nytimes.com/2009/08/24/technology/internet/24emotion.html?_r=1 "Mining the Web for Feelings, Not Facts"], ''[[New York Times]]'', 2009-08-23. Retrieved on 2009-10-01.</ref> Further complicating the matter, is the rise of anonymous social media platforms such as [[4chan]] and [[Reddit]].<ref>{{cite web|title=Sentiment Analysis on Reddit|url=http://news.humanele.com/sentiment-analysis-reddit/|access-date=10 October 2014|date=2014-09-30}}</ref> If [[web 2.0]] was all about democratizing publishing, then the next stage of the web may well be based on democratizing [[data mining]] of all the content that is getting published.<ref name="The Future of Social Media Monitoring">Kirkpatrick, Marshall. [https://readwrite.com/2009/04/15/whats_next_in_social_media_monitoring/ "], ''[[ReadWriteWeb]]'', 2009-04-15. Retrieved on 2009-10-01.</ref>

The rise of [[social media]] such as [[blogs]] and [[social network]]s has fueled interest in sentiment analysis.  With the proliferation of reviews, ratings, recommendations and other forms of online expression, online opinion has turned into a kind of virtual currency for businesses looking to market their products, identify new opportunities and manage their reputations.  As businesses look to automate the process of filtering out the noise, understanding the conversations, identifying the relevant content and actioning it appropriately, many are now looking to the field of sentiment analysis.<ref name="Mining the Web for Feelings, Not Facts">Wright, Alex. [https://www.nytimes.com/2009/08/24/technology/internet/24emotion.html?_r=1 "Mining the Web for Feelings, Not Facts"], ''[[New York Times]]'', 2009-08-23. Retrieved on 2009-10-01.</ref> Further complicating the matter, is the rise of anonymous social media platforms such as [[4chan]] and [[Reddit]].<ref>{{cite web|title=Sentiment Analysis on Reddit|url=http://news.humanele.com/sentiment-analysis-reddit/|access-date=10 October 2014|date=2014-09-30}}</ref> If [[web 2.0]] was all about democratizing publishing, then the next stage of the web may well be based on democratizing [[data mining]] of all the content that is getting published.<ref name="The Future of Social Media Monitoring">Kirkpatrick, Marshall. [https://readwrite.com/2009/04/15/whats_next_in_social_media_monitoring/ "], ''[[ReadWriteWeb]]'', 2009-04-15. Retrieved on 2009-10-01.</ref>