Movie Review Sentimental Analysis

The Rotten Tomatoes movie review dataset is a corpus of movie reviews used for sentiment analysis, originally collected by Pang and Lee. This competition presented a chance to benchmark sentiment-analysis ideas on the Rotten Tomatoes

dataset.

We are asked to label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive. Obstacles like sentence negation, sarcasm, terseness, language ambiguity, and many others make this task very challenging.

The dataset is comprised of tab-separated files with phrases from the Rotten Tomatoes dataset. Training set contained 156060 rows.

I have retrained the spaCy language (“en”) model using train data provided.

I have trained for 5 iterations only it runs for about 1 hour. We can increase iterations to get better performance.

For more details refer my kaggle kernel in this link

Thanks to Suyash.

Originally published at meenavyas.wordpress.com