Hi there, Just to say i've found this project amazing. I've worked a lot with NLP and Twitter in Chile and I have to say this package works pretty damn good in Twitter. Like others said, I also hope to see a V2 sometime in the future.
I have some concerns that I would like to share with you about sentiment in Spanish:
1) There are sooo many different types of datasets (twitter, reviews, wikipedia, conversational, emailss, etc) and spanish slangs (naming just the diversity in Latinamerica and Spain we actually go nuts). For this reason it's dificult to create a sentiment (yet) that is (at least slightly) Universal.
2) I just can't really understand how sentiment drivers work, how can we know to whom or what is this emotion directed. For example, If a have negative tweet about Trump, that doesn't mean that someone is mad at him, it could be that he is happy with Trump but very mad at Joe Biden and just mentioned both guys, or even that he is happy with Trump and just mad about any other random situation. VERY VERY complex problem, nevertheless essential to make sentiment really valuable for analysis.
If you would like to share any insights or strategies about these problems I would be great.
Congratulations for this really cool work and thank you for sharing it!
Hi there, Just to say i've found this project amazing. I've worked a lot with NLP and Twitter in Chile and I have to say this package works pretty damn good in Twitter. Like others said, I also hope to see a V2 sometime in the future.
I have some concerns that I would like to share with you about sentiment in Spanish:
1) There are sooo many different types of datasets (twitter, reviews, wikipedia, conversational, emailss, etc) and spanish slangs (naming just the diversity in Latinamerica and Spain we actually go nuts). For this reason it's dificult to create a sentiment (yet) that is (at least slightly) Universal.
2) I just can't really understand how sentiment drivers work, how can we know to whom or what is this emotion directed. For example, If a have negative tweet about Trump, that doesn't mean that someone is mad at him, it could be that he is happy with Trump but very mad at Joe Biden and just mentioned both guys, or even that he is happy with Trump and just mad about any other random situation. VERY VERY complex problem, nevertheless essential to make sentiment really valuable for analysis.
If you would like to share any insights or strategies about these problems I would be great.
Congratulations for this really cool work and thank you for sharing it!