I have build a program that log tweets from stream by hashtag into a MongoDB database and a website to label them.
The website loads a random tweet and allows me to label them with three buttons (Negative, Neutral, Positive). My goal was to make a huge database of tweets and labels for machine learning purpose.
I was wondering if putting it online/making it available, others will find it interesting and allow them to classify tweets to add to the data. I don't want to build a full website that no one will use. I was thinking about give it as an open source platform.
Do you think this project is interesting? Is it worth finishing it?
As I store the full tweet I thought that in the future I will allow different classification e.g. (Pos, Neutrale, Neg / Categories ex: US. Politics, etc.) and people will be able to build a training set off of it, for example Negative/Positive tweets about location (browsing tweets with geolocation) etc.
In the future, maybe give incentive for people to rate them, add advertisement to finance it maybe. For example a tree learning for label questions (Ex : Categorie "US. Politics" -> "Is it about Hillary Clinton ?" -> Is it positive ? ... a bit like akinator)
Any comment / critic / encouragement / support is welcome.
I hope I was clear in my explanation and that I am not off topic on this forum.