Top Words in COVID & Corona Domain Names A few basics on determining the most popular terms in a dataframe of text. In this case, the dataframe is domain names that have been exported into a csv. For my example, I have a list of ~205,000 domain names with that has been compiled with ‘covid’
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Simple Visual Word Network Allows users to interact with words, and related associations, visually. Network of names based on: a. Common word associations (not always applicable but for reference left it ‘as is’) b. Bag of Words used with resulting nouns, verbs and grouping Simple Word Network
Internet of Things (IoT) Text Analytics in R A small corpus of ten articles related to the Internet of Things (IoT) were collected for the purpose of text analytics. Using R, each article was cleaned for unusual characters, changed to lower case, removed numbers, punctuation, stop words, white space along with any additional terms that
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Text Analytics For a little fun, this is a text analytics based on a CBC News article which is available at http://www.cbc.ca/news/technology/trump-climate-change-executive-order-1.4043650[raw]. Below you will see the Python code along with the various word analytics on the text (which was downloaded and put into a text file named “cbcnewstrump.txt”. Enjoy! [/raw]
Simple utilities can make things so much easier at times. This Jupyter Notebook take a document or in this case, ‘Alice in Wonderland’ by Lewis Carroll and provides the top 10 words. Naturally, words can be eliminated but for ease of reference, only the word ‘the’ has been removed. For websites, a deeper cleaner is needed
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