Text-sentiment-Analyser-App
This is an End to End Data Science Project In this project I created a web application that predicts the sentiment of the text by analysing text. Sentiment Analysis is the process of determining whether a piece of writing (product/movie review, tweet, etc.) is positive, negative or neutral. It can be used to identify the customer or follower’s attitude towards a brand through the use of variables such as context, tone, emotion, etc.
My application is live at: https://text-sentiment-analyser.herokuapp.com/
Steps taken to build this application:
- Collecting data
- Preprocess data
- Created the custom embeddings with Word2Vec
- Build the RNN neural network and trained it
- Saved the model and tokenizer file.
- Created the Flask framework for the API
- Deployed the application on the cloud (Heroku)
Please Do upstar this project if my work helped