Training Dataset for Sentiment Analysis of Movie Reviews I am currently working on sentiment analysis using Python. I wanted to find whether reviews given for a movie is positive or negative based on sentiment analysis. I have found a training dataset as provided in this link.
This dataset have reviews and a score with 1 indicating review is positive and 0 indicating movie review is negative, but it has less number of records. I have a test dataset which I will predicting based on training set. My test dataset has complex and long words for which my python ML model sometimes gives positive result for a negative reviews (returning result as 1 for negative review). I am looking for better dataset to train my model, so that my model can predict well. Could you please advise me any good/large and effective training dataset to use for this scenario? If you could share any links that would be great. The training data can be in format as 1 for positive reviews and 0 for negative reviews or even polarity like pos for positive reviews or neg for negative reviews.
You can use the SAR14 dataset of 234K IMDb movie reviews. The construction of the SAR14 dataset is detailed in the paper "Sentiment Classification on Polarity Reviews: An Empirical Study Using Rating-based Features".