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View Code? Open in Web Editor NEWSNS用户交互学习行为研究
SNS用户交互学习行为研究
昨天@yogurtChen 给我发来一个xml文件,我把它作为读入文件导入到分词工具中。成功地分词,并把结果生成到log文件中。具体操作可以看Wiki
这一块我们用文本相似度评价论坛的冗余
这里的资料均来自52nlp
这个话题,是作者在开发课程图谱网站(目的通过对公开课的导航、推荐和点评等功能方便大家找到感兴趣的公开课)的时候遇到了如何为用户推荐课程的问题,并给出了以“课程相似度”为思路解决方案。
文中提到了一个Python工具包gensim(GitHub),并提到:
当前课程图谱中所有课程之间的相似度全部基于gensim计算,自己写的调用代码不到一百行,topic模型采用LSI(Latent semantic indexing, 中文译为浅层语义索引)
秉承学习的原则,我们有必要把这些资料都学习一下。以便更好地利用gensim。此文有以下几个知识点需要我们学习,在此列出来,方便大家。
LSI is based on the principle that words that are used in the same contexts tend to have similar meanings.
在学习掌握了基础知识以后,文章介绍了gemsim工具箱的安装和使用。
以“地震”为关键字,以雅安地震为时间起始点,抓取两个平台(知乎、百度知道)上属于此话题的所有帖子的主题、内容。
主要工作:
文本分析、分词完成之后,利用社会网络方法建立网络图
猜想:(这个放到后面做)
我们在这里得到一些指引,目前发现的问题是console方法会占用比较多的内存,担心会出现溢出的状况。
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