blocks|key|1175861|text|斯坦福大学课程课程涵盖了第3周中的情感分析：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1175862|1175863|什么是情感分析？|unordered-list-item|1175864|1175865|情感分析:一种基线算法|1175866|1175867|情感词汇|1175868|1175869|学习情感词汇|1175870|1175871|其他情感任务|1175872|有关编码教程，请参阅：|1175873|流黑客的NLP教程|1175874|用Python进行基本情感分析|1175875|安迪·布罗姆伯格的情感分析教程|1175876|洛朗·卢斯的情感分析教程|1175877|这些都是基本的，所以它们的性能并不是在所有情况下都很好。|entityMap|0|LINK|mutability|MUTABLE|url|https://www.coursera.org/course/nlp|1|https://class.coursera.org/nlp/lecture/preview|2|https://class.coursera.org/nlp/lecture/31|3|https://class.coursera.org/nlp/lecture/145|4|https://class.coursera.org/nlp/lecture/35|5|https://class.coursera.org/nlp/lecture/144|6|https://class.coursera.org/nlp/lecture/33|7|http://streamhacker.com/2010/05/10/text-classification-sentiment-analysis-naive-bayes-classifier/|8|http://fjavieralba.com/basic-sentiment-analysis-with-python.html|9|http://andybromberg.com/sentiment-analysis-python/|10|http://www.laurentluce.com/posts/twitter-sentiment-analysis-using-python-and-nltk/^0|0|9|0|C|3|1|0|0|0|8|2|0|0|0|B|3|0|0|0|4|4|0|0|0|6|5|0|0|0|6|6|0|0|0|9|7|0|0|F|8|0|0|F|9|0|0|C|A|0^^$0|@$1|2|3|4|5|6|7|1W|8|@]|9|@$A|1X|B|1Y|1|1Z]|$A|20|B|21|1|22]]|C|$]]|$1|D|3|-4|5|6|7|23|8|@]|9|@]|C|$]]|$1|E|3|F|5|G|7|24|8|@]|9|@$A|25|B|26|1|27]]|C|$]]|$1|H|3|-4|5|6|7|28|8|@]|9|@]|C|$]]|$1|I|3|J|5|G|7|29|8|@]|9|@$A|2A|B|2B|1|2C]]|C|$]]|$1|K|3|-4|5|6|7|2D|8|@]|9|@]|C|$]]|$1|L|3|M|5|G|7|2E|8|@]|9|@$A|2F|B|2G|1|2H]]|C|$]]|$1|N|3|-4|5|6|7|2I|8|@]|9|@]|C|$]]|$1|O|3|P|5|G|7|2J|8|@]|9|@$A|2K|B|2L|1|2M]]|C|$]]|$1|Q|3|-4|5|6|7|2N|8|@]|9|@]|C|$]]|$1|R|3|S|5|G|7|2O|8|@]|9|@$A|2P|B|2Q|1|2R]]|C|$]]|$1|T|3|U|5|6|7|2S|8|@]|9|@]|C|$]]|$1|V|3|W|5|G|7|2T|8|@]|9|@$A|2U|B|2V|1|2W]]|C|$]]|$1|X|3|Y|5|G|7|2X|8|@]|9|@$A|2Y|B|2Z|1|30]]|C|$]]|$1|Z|3|10|5|G|7|31|8|@]|9|@$A|32|B|33|1|34]]|C|$]]|$1|11|3|12|5|G|7|35|8|@]|9|@$A|36|B|37|1|38]]|C|$]]|$1|13|3|14|5|6|7|39|8|@]|9|@]|C|$]]]|15|$16|$5|17|18|19|C|$1A|1B]]|1C|$5|17|18|19|C|$1A|1D]]|1E|$5|17|18|19|C|$1A|1F]]|1G|$5|17|18|19|C|$1A|1H]]|1I|$5|17|18|19|C|$1A|1J]]|1K|$5|17|18|19|C|$1A|1L]]|1M|$5|17|18|19|C|$1A|1N]]|1O|$5|17|18|19|C|$1A|1P]]|1Q|$5|17|18|19|C|$1A|1R]]|1S|$5|17|18|19|C|$1A|1T]]|1U|$5|17|18|19|C|$1A|1V]]]]

The <a href="https://www.coursera.org/course/nlp" rel="nofollow">Stanford NLP course on Coursera</a> covers Sentiment Analysis in <a href="https://class.coursera.org/nlp/lecture/preview" rel="nofollow">week 3</a>: 
- <a href="https://class.coursera.org/nlp/lecture/31" rel="nofollow">What is Sentiment Analysis?</a> 
- <a href="https://class.coursera.org/nlp/lecture/145" rel="nofollow">Sentiment Analysis: A baseline algorithm</a> 
- <a href="https://class.coursera.org/nlp/lecture/35" rel="nofollow">Sentiment Lexicons</a> 
- <a href="https://class.coursera.org/nlp/lecture/144" rel="nofollow">Learning Sentiment Lexicons</a> 
- <a href="https://class.coursera.org/nlp/lecture/33" rel="nofollow">Other Sentiment Tasks</a>

For coding tutorials see: 

<ul>
<li><a href="http://streamhacker.com/2010/05/10/text-classification-sentiment-analysis-naive-bayes-classifier/" rel="nofollow">Stream Hacker's NLP tutorials</a> </li>
<li><a href="http://fjavieralba.com/basic-sentiment-analysis-with-python.html" rel="nofollow">Basic Sentiment Analysis with Python</a> </li>
<li><a href="http://andybromberg.com/sentiment-analysis-python/" rel="nofollow">Andy Bromberg's Sentiment Analysis tutorials</a></li>
<li><a href="http://www.laurentluce.com/posts/twitter-sentiment-analysis-using-python-and-nltk/" rel="nofollow">Laurent Luce's Sentiment Analysis tutorials</a> </li>
</ul>

These are really basic, so their performance will not be great in all cases.

blocks|key|2318843|text|到目前为止，NLTK书是我所见过的关于基本NLP的最好的教程(用Python)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2318844|NLP上的Coursera+课程也相当不错。它从基础开始，将学生提升到初级水平。|entityMap|0|LINK|mutability|MUTABLE|url|http://www.nltk.org/book/|1|https://www.coursera.org/course/nlp^0|6|5|0|0|E|2|1^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@$A|P|B|Q|1|R]]|C|$]]|$1|D|3|E|5|6|7|S|8|@]|9|@$A|T|B|U|1|V]]|C|$]]]|F|$G|$5|H|I|J|C|$K|L]]|M|$5|H|I|J|C|$K|N]]]]

The <a href="http://www.nltk.org/book/" rel="nofollow">NLTK book</a> is by far the best tutorial on basic NLP I have seen(in Python).

The Coursera <a href="https://www.coursera.org/course/nlp" rel="nofollow">course</a> on NLP is also fairly good. It takes off from the basics and takes the student to a novice level.

blocks|key|2318867|text|正如道尼所说，我也会建议NLTK书。在R语言中，“tm”库非常有用。因此，请尝试使用这里来获取更多相关的文本挖掘内容，其中R.+R-博客也值得考虑。祝好运。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|entityMap|0|LINK|mutability|MUTABLE|url|http://www.nltk.org/book/|1|https://cran.r-project.org/web/packages/tm/index.html|2|https://rstudio-pubs-static.s3.amazonaws.com/31867_8236987cf0a8444e962ccd2aec46d9c3.html|3|http://www.r-bloggers.com/text-mining/^0|C|5|0|O|4|1|16|2|2|1S|4|3^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@$A|R|B|S|1|T]|$A|U|B|V|1|W]|$A|X|B|Y|1|Z]|$A|10|B|11|1|12]]|C|$]]]|D|$E|$5|F|G|H|C|$I|J]]|K|$5|F|G|H|C|$I|L]]|M|$5|F|G|H|C|$I|N]]|O|$5|F|G|H|C|$I|P]]]]

As Dawny said i would suggest <a href="http://www.nltk.org/book/" rel="nofollow">NLTK Book</a> too. And in R language <a href="https://cran.r-project.org/web/packages/tm/index.html" rel="nofollow">'tm'</a> library is pretty useful. So try <a href="https://rstudio-pubs-static.s3.amazonaws.com/31867_8236987cf0a8444e962ccd2aec46d9c3.html" rel="nofollow">here</a> for more related text mining stuff with R. <a href="http://www.r-bloggers.com/text-mining/" rel="nofollow">r-blog</a> also worth of consider.
good luck.

I am trying to understand sentiment analysis and how to apply it using any language (R, Python etc). I would like to know if there is a good place on internet for tutorial that I can follow. I googled, but I wasn't very much satisfied because they were not tutorials but more of theory. I want theory and practical examples.

Sentiment Analysis Tutorial

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我试图理解情感分析，以及如何使用任何语言(R，Python等)。我想知道是否有一个好地方在互联网上的教程，我可以遵循。我在谷歌上搜索，但我不太满意，因为它们不是教程，而是更多的理论。我想要理论和实际例子。

问情感分析教程
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