![]() The core method is generate_from_frequencies, whether it is generate() or generate_from_text (), it will eventually reach generate_from_frequencies.įinally, complete the coloring of each word on the word cloud, the default is random coloring. ![]() Next, generate pictures on the word cloud layout diagram according to the corresponding word frequency. ![]() The class IntegralOccupancyMap is the algorithm of the word cloud and the core of the word cloud data visualization method. Thirdly, generate a picture layout proportionally based on the value of the word frequency. Word frequency calculation is equivalent to word count, the first case of various distributed computing platforms, and has the same status as hello world programs in various languages. Secondly, calculate the frequency of each word in the text and generate a hash table. For the process_text () method in wordcloud, it is mainly the processing of stop words. This is also the first step in NLP text processing. The principles of generating a word cloud are not complicated, and can be roughly divided into several steps:įirst, segment text data. You can see many interesting word clouds on the Internet, as follows: The rendering of keywords forms a cloud-like color picture, so that you can appreciate the main text data at a glance. ![]() A word cloud is a visually prominent presentation of “keywords” that appear frequently in text data. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |