To Vaccinate or Not to Vaccinate: It’s not a Question by #ZindiWeekendz
Helping Africa
$300 USD
Completed (almost 6 years ago)
Natural Language Processing
Classification
Sentiment Analysis
212 joined
126 active
Start
Apr 24, 20
Close
Apr 26, 20
Reveal
Apr 26, 20
This might not exactly be a classification problem. Some of the comments are partially negative. Some could be partially postive, so treating it as a hard class wouldn't be good. To think in a different way consider predictiing a rating a person would give to a movie based on his review, on a scale of 0 to 10. RMSE would be better suited as a metric compared to some classification metric in this case. Also these tweets are labelled with some disagreement, so 2 out of 3 people could think its positive, one could say neutral. So a distance between my models prediction and the agreement could be something I am looking for.
yeah! But what are we looking for? we have a tweet and we want to predict the sentiment of this tweet. In the end we want the sentiment. 0.6 0.4126 0.5 are nothing, we want to have the right predictions. That's why attacking it as a classification problem is 100% better than this way.
I agree to your opinion. In the real world "neutral" is a nearly useless(for lack of a better word) category and in most cases has no effect to the outcome of any real world event. So i think the problem should have been framed as a two class classification problem; pro-vaccination(1) or anti-vaccination(0). But I respect the fact that they have their reasons for keeping it this way.
Yeah. I ask my self for this question. At first I think it was classification