Blahnalysed? Results of analysing this blog show that I might be 18-25 or 66-100 (I’m 44), either female or a weak male (I’m a butch dyke), European (somewhat) and extremely upset most of the time (rofl – true if upset means depressed). Spooky accuracy! Apparently my top blog category is health; the word bipolar must have given that away.
Here’s my latest selfie:
Woorank.com says this is the 10,034,838th most visited website in the world.
As if we needed proof that I swear too much …
Hackerfactor.com (second favourite)
Genre: Informal
Female = 339
Male = 492
Difference = 153; 59.2%
Verdict: Weak MALE
Weak emphasis could indicate European.
Genre: Formal
Female = 502
Male = 577
Difference = 75; 53.47%
Verdict: Weak MALE
Weak emphasis could indicate European.
Urlai.com (definitely my favourite)
bipolardyke.wordpress.com is probably written by a female somewhere between 66-100 years old. The writing style is personal and upset most of the time.
Gender Ranking
bipolardyke.wordpress.com is the 1519th most feminine blog of 3120 ranked.
Mood Ranking
bipolardyke.wordpress.com is the 60th most upset blog of 3120 ranked.
Categories
1. Health (83.2 %)
2. Arts (12.6 %)
3. Society (3.3 %)
4. Home (0.6 %)
5. Computers (0.1 %)
5. Science (0.1 %)
Gender
1. female (68.1 %)
2. male (31.9 %)
Age
1. 18-25 (34.7 %)
2. 36-50 (24.5 %)
3. 65-100 (21.9 %)
4. 13-17 (12.5 %)
5. 26-35 (4.3 %)
6. 51-65 (2.1 %)
Mood
1. upset (99.8 %)
2. happy (0.2 %)
Sentiment
1. negative (87.6 %)
2. positive (12.4 %)
Stanford NLP will analyse a sentence and then grade it from negative (red) through orange and grey to positive (blue).
The coolest word cloud generator by far, if you want one, is Wordle, but my phone didn’t want to talk to wordle’s java, so I googled and used whatever would work on the phone. Btw I didn’t use any websites I had to register for, because lazy as fuck. I only used free stuff and where possible, tools where you could enter your URL rather than text. So lazy. There’s a ton more you can do, but I just wanted the trivial stuff.
