In order to follow the variation of the weights that form a topic over a year, I compared two bases with a difference of one year between them. And one can see the importance that certain terms acquire in the topic with evolution over time. I imagine this as taking pictures of the portrait of the moment and after a certain period to take another portrait and compare its evolution. With this "recurrence" one can get several interesting insights about what is hype or viral about a subject or what people understand to be of importance to have commented on it.
One actionable "insight" that I can have, it is the change in the relevance of the term "python" in the 21st position on July of 2017 to the 12th position on July of 2018.
Also the existence of words related with "job", "hire" in July of 2018 that may correlate with the increase in the scarcity of the "pool" of talents in the Data Science and Big Data areas.