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There are many problems with Twitter accounts : Spam accounts, celebrities and politicians that have many thousands of followers because of who they are to name a few. These users were not part for the analysis although in some cases it is hard to identify which Twitter users have auto-follow bots. Most users tend to un-follow users that do not give valuable information. You could also analyze this information based on the follower-to-following ratio and not strictly follower count (which is also discussed in one of my other posts).
Note also that i do not imply that by just using these words you are going to draw many followers. To do this you need many other things and this is explicitly stated towards the end of this post.
Good point. Although this text mining exercise did not take into account the fact that 70% of Twitter users quit shortly after they create an account this problem could possibly be solved by checking the date of the last Tweet for each of the followers.
Any causal relationship is by no means implied (notice how many times i use the word appears to the text). Please also notice the phrase "Use as possible clues only"
What you say is correct..this is merely an example of what kind of insights could possibly be extracted from Twitter. Please check lifeanalytics for more examples.
This is an excellent post and may be one that should be followed up to see what happens : Both in terms of what Habitat will do about it but also how this post might affect Habitat in the *long run*. If many people link their websites to this post then users that are looking for opinions on habitat products -and not their website- may well see a large number of links that point to this negative marketing initiative and perhaps will be reminding to all of us for an awful lot of time a bad marketing example.
@Alex.B : Thanks for your feedback. You can have a look at my blog for all posts regarding Twitter analytics by visiting the following URL : http://ow.ly/fb8U
- The post is about Twitter profiles (Bios), *not* user Tweets.
-Please note that in my post i do not make any claims such as:
"IF you use xyz word in Bio => Many Followers"