Natural Language Processing-Description

I recently spent some time learning NLP-actually I just learned how to use nltk and gensim that accompanied it.

It may not take a long time for NLP to become popular in China. The vast majority of the data comes from the nltk and gensim official websites. The most widely used examples in China end with a demonstration of nltk word segmentation/word division, what is a little practical is an article used to compare the similarity of Coursera courses. It is a beacon for me to get started (I didn't have the foundation of NLP at the beginning, you can only start with a better understanding of Chinese content = _ =! ), But there is no good combination of the corpus, and the algorithm is only demonstrated by LSI, and the content and code of the article are not better organized (not to mention the author's bad words, but there is indeed a lot of room for improvement ...)

In addition to data issues, there are also many thresholds for NLP scenarios. If there is no better resource, you can only perform word segmentation to analyze the similarity of a small amount of data. It may be more useful in large companies, but it is not enough to popularize and promote NLP.

I will release the use process and code of nltk over this period of time, hoping to be useful to future users who need to get started with NLP.

Natural Language Processing-Description