Introduction
Today I will be comparing Twitter data that mentions Nike and Adidas. These are two common competing companies, so I thought it would be interesting to check out how they compare to each other. I wanted to see if the feedback they got on Twitter was similar or different through sentiment analysis. I initially just wanted to see the most popular words between the 2 brands to see if there was similar words. I used stop_words to filter out common words that would not be of great use when trying to infer any data.
Question 1: What are the most common words in tweets related to Nike and Adidas?
Based on the results here I see some similarities. The scraping picked up hhtps and t.co, which are common parts of websites, so it is safe to say that there are a lot of links in these tweets related to Nike and Adidas. One thing I noticed that I thought was interesting is Adidas related tweets also contain the word “Nike” a lot, which is not vice versa for Adidas tweets. Weirdly, Nike has 2 common popular words which are “spicy” and “chili”. I honestly have no clue what this could be related to or why it is there. My only guess is some type of partnership or sponsorship between Nike and another company. I also noticed that Nike has more to do with the NBA. This could be due to the NBA playoffs going on right now, but I saw words such as “nba” and “ppg” (ppg stands for points per game). It also seems like Nike generally has more fashion related words.
Question 2: Is there a potential easier way to view this information for non-business analysts?
Wordclouds are not everyone’s favorite, but I feel like they can very easily portray a message. Almost everyone in life has seen a wordcloud and it can just be much easier for the average person to understand. Here I displayed the most common words for Nike and Adidas in wordclouds.
Question 3: What are common positive and negative words related to Nike and Adidas tweets?
Here is where we can see sentiment words related to the brands, this can give us a general idea on the overall twitter populations feelings related to these brands.
I thought this section was really interesting. It seems like they are about equal in terms of positive and negative sentiments, but if you look closer, I feel like it tells a different story. If you look at the Nike sentiment graph, there is a couple words that seem negative that were detected as negative but are more used positively in slang today. Words like “dope”, “hard”, and “crazy” can all be used positively. When you look at Adidas’ negative sentiments, they are way more harsh, you see a lot more curse words.
Conclusion
My closing thoughts from looking at the data, is that Nike’s general perception on Twitter is better. What did it for me is looking at the difference between negatives sentiments. For Nike, you barely see any curse words at all. On the other hand, for Adidas, you see some really vulgar language. I think it is still pretty hard to make a decision like this based on the information given, but the negative sentiments is what gave the edge to Nike being perceived better in my opinion.