Text Sentiment Analysis
Amir Khan
Noida, Uttar Pradesh
- 0 Collaborators
An Implementation of imdb movies review of text sentiment analysis, predicting the positive and negative text. ...learn more
Project status: Published/In Market
Overview / Usage
Training a long short term memory recurrent network on a dataset of labeled movie reviews to learn how to predict whether some text is either positive or negative.
Methodology / Approach
- Collect text data (Movie reviews).
- Convert input review text into encoded vectors using an embedding layer.
- Input these word embeddings into the LSTM cells (allow for sequence learning).
- Pass LSTM outputs to a sigmoid output layer (positive or negative).
- Compute loss by comparing LSTM output to actual label, use calculus to optimize the network during training.
Technologies Used
Pytorch
Repository
https://github.com/Amir22010/NLP_Deep_Learning/tree/master/7_June_2019_NLP_Deep_Sentiment