Comment on Show HN: London Feels – Sentiment-analysis of Londoners Tweets on a MapComments−ripb11yNice site, although it does have issues with the analysis as outlined by others here.One suggestion I would have is some sort of filtering based on the content of the tweets. This tweet returned "feeling good":"New post featuring: @NewLookPRTeam @nextofficial @Matalan @hmunitedkingdom @uoeurope @Accessorize @ASOS http://t.co/nGsFj306xT #fbloggers"This one returned "feeling average":"@dannykobe17 @DanielRacheter @Khuds_ @shangambling @Umar_Wilshere19 @_mikenewell_ @BlueKay10 is that ollie?"Whereas there's absolutely no real sentiment to derive from this sort of thing.−radiodarioOP11ythanks! that's definitely a good idea, how would you go about doing this? counting @mentions vs "tokens"/workds and setting a threshold ratio to remove tweets?
Comments
Nice site, although it does have issues with the analysis as outlined by others here.
One suggestion I would have is some sort of filtering based on the content of the tweets. This tweet returned "feeling good":
"New post featuring: @NewLookPRTeam @nextofficial @Matalan @hmunitedkingdom @uoeurope @Accessorize @ASOS http://t.co/nGsFj306xT #fbloggers"
This one returned "feeling average":
"@dannykobe17 @DanielRacheter @Khuds_ @shangambling @Umar_Wilshere19 @_mikenewell_ @BlueKay10 is that ollie?"
Whereas there's absolutely no real sentiment to derive from this sort of thing.
thanks! that's definitely a good idea, how would you go about doing this? counting @mentions vs "tokens"/workds and setting a threshold ratio to remove tweets?