A deep learning approach that detects sentiment using LSTM, word embeddings and keras.
Sentiment Detection for IMDB Ratings with word embedding
What is the purpose of this POC: This example show how to train a very good sentiment detection classifier with deep learning, word embedding and keras.
Link to DEMO or 30s VIDEO of the project
Link to POC demo or video:
Link to the blogpost if it exists:
Is it protected with a psw/login: no
What is the benefit for the customer: The customer can have an automatic classification of tweets or product reviews, which might help him.
What is the benefit for the business: The business owner can moderate
How much MD did you use to build it: 3MD including blog post
Which data is it based on: IMDB reviews, which have been manually preclassified into positive and negative
Which technologies were used: Keras, Deep learning
Which things could be build with this POC if you had more time: It can be used for moderation of user generated content.