My output then becomes this: Yoga SERP nGrams These two examples can help provide a snapshot of the topics that competitors are covering on their landing pages. For example, if you executive email list wanted to demonstrate content gaps in your landing pages against your top performing competitors, you could use a table like this to illustrate these recurring themes. Incorporating them is going to make your landing pages more comprehensive, and will executive email list create a better user experience. The best tutorial that I’ve found for creating a counter like the one I’ve used above can be found in the example Jupyter.
Notebook that Robin Lord has put together (the same one linked to above). It will take you through exactly what you need to do, with examples, to create a table like the one executive email list you can see above. That’s pretty basic though, and isn’t always going to give you results that are actionable. So what other types of useful analysis can we run? Part of Speech (PoS) Tagging & Analysis PoS tagging is defined as: “In corpus executive email list linguistics, Part-Of-Speech Tagging (POS tagging or POST), also called grammatical tagging, is the process of marking up a word in a text (corpus) as corresponding to a particular part of speech.
Based on both its definition, as well as its context—i.e. relationship with adjacent and related words in a phrase, sentence, or paragraph.” What this means is that we can executive email list assign every word in our SERP corpus a PoS tag based not only on the definition of the word, but also the context with which it appears in a SERP-displayed meta description or page title. This is powerful, because what it means is that we can drill down into executive email list specific PoS categories (verbs, nouns, adjectives etc.), and this can provide valuable insights around how the language of the SERPs is constructed. Side note – In this example, I am using the NLTK package for PoS tagging.