Articles and buzz points

• Question: Why are some articles worth more buzz points than others?

• There's an algorithm that looks at the 'value' of particular words with the article.
In a very simple way, the more praise, the higher

• @Wardy

The Buzz scores are determined by an AFINN analysis model. The model determines positive / negative sentiment.

All applicable Buzz articles have a base score / minimum score of 20.

Words in the title of the article can then score positive or negative sentiment ranging from -5 to +5.
+1 = 20 points
+2 = 40 points
+3 = 60 points
+4 = 80 points
+5 = 100 points

For example:

'Neymar moves to Paris Saint Germain' = 20 points (base score, no positive sentiment)

vs

'How brilliant is Paris' record signing Neymar?' - 100 points (20 base score + 80 points for the world brilliant because it is a +4 (80 points) modifier on the sentiment analysis).

Hope that helps, try out a few words of your own via this link to see their positive / negative sentiment:

http://darenr.github.io/afinn/

• @Wardy

The Buzz scores are determined by an AFINN analysis model. The model determines positive / negative sentiment.

All applicable Buzz articles have a base score / minimum score of 20.

Words in the title of the article can then score positive or negative sentiment ranging from -5 to +5.
+1 = 20 points
+2 = 40 points
+3 = 60 points
+4 = 80 points
+5 = 100 points

For example:

'Neymar moves to Paris Saint Germain' = 20 points (base score, no positive sentiment)

vs

'How brilliant is Paris' record signing Neymar?' - 100 points (20 base score + 80 points for the world brilliant because it is a +4 (80 points) modifier on the sentiment analysis).

Hope that helps, try out a few words of your own via this link to see their positive / negative sentiment:

http://darenr.github.io/afinn/

So it only looks at the headline? My god. That's risky. I thought it was the whole article!

• Yep headline of the article itself is what the score is attributed from!

• @FootballIndexRC absolutely spot on. Point scoring is completely based on the positivity of the headline.