Created 3 years ago
Bert Implementation for Sentiment Analysis
BERT is currently being used at Google to optimize the interpretation of user search queries. BERT excels at several functions that make this possible, including:
Sequence-to-sequence based language generation tasks such as:
- Question answering
- Abstract summarization
- Sentence prediction
- Conversational response generation
This notebook trains a sentiment analysis model to classify movie reviews as positive or negative, based on the text of the review.
The dataset contatins over 50,000 movie reviews collected from IMDB movie database