Is it possible to do sentiment analysis of unlabelled text using word2vec model?
as Lahiru mention if we downloaded any data, it dont have labelled data. so we need to label it. Either manually one by one by a person and than verify it else use some other library like sentiwordnet or textblob to level it.
I have some text data for which I need to do sentiment classification. I don't have positive or negative labels on this data (unlabelled). I want to use the Gensim word2vec model for sentiment classification.
Is it possible to do this? Because till now I couldn't find anything which does that?
Every blog and article are using some kind of labelled dataset (such as imdb dataset)to train and test the word2vec model. No one going further and predicting their own unlabelled data.
Can someone tell me the possibility of this (at least theoretically)?
Thanks in Advance!