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最近计划用 bookdown 重写一下文档教程,欢迎大家提一下意见和建议 #35
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最后非常感谢你开发了这个包,造福了广大文本分析爱好者!! |
新版的文档在这里更新 https://jiebaR.qinwf.com/ |
有一些小细节问题,有时间的话能不能解答一下吗? 我也想弄一个。。感觉跑偏了。。(逃。。 😵
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可以看 travis 的文件这几行:https://github.com/qinwf/jiebaR_doc/blob/master/.travis.yml#L52-L58 域名很多网站都可以买,阿里云,腾讯云,godaddy 挺多的,网上搜一下就有了。 |
jiebaR可有相关的论文和研究报告之类,可以在说明文档中一并列出,方便研究人员进行参考和引用。您看如何? |
Thanks for your support. You can use this You can also look at this page to see how other people cite packages on CRAN. http://onlinelibrary.wiley.com/doi/10.1002/9781118763667.oth1/pdf The methods in this package are very common in most Chinese text segmentation. It is mostly about Hidden Markov Model, Viterbi algorithm, Maximum Likelihood decoding. The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states. For Chinese text segmentation, the hidden states are the segmentation status of words. I will add some internal functioning material in the incoming docs. |
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