I would like to ask you how to work on train and test dataset. I have unlabelled data. They are short text (max 100 characters) and I would need to understand their sentiment. To do this, I am manually assigning labels (1,0,-1). However I have more than 2000 text and I would like to find a way to do it automatically, after considering a small labelled set. What I was thinking is to split the dataset into train and test since the beginning and work with the training dataset to label data. Unfortunately, I have not understood how to assign labels to the remaining texts, I.e. how to predict the sentiment of data in the test dataset.
Could you please tell me what would be next steps and, if you have anything that you think can be useful for a better understanding, suggesting an example to follow? Many thanks