Classifies the movie reviews as positive or negative using LSTM Networks

MACHINE LEARNING / NLP / AMAZON SAGEMAKER: This an exemplary implementation of Web Application predicting if provided movie review is POSITIVE or NEGATIVE. This application uses Machine Learning model trained and deployed on Amazon SageMaker environment.

In this implementation, i have done sentiment analysis of Movies reviews from imdb dataset with LSTM using Keras API of Tensorflow.

Real time application of Sentiment Analysis on Movie Reviews. A Machine Learning Flask App hosted on Heroku and created on Google Colab. https://swetakesurnlp-playground.herokuapp.com

Analysing Snappfood comments with Bidirectional LSTM (BiLSTM)

Sentiment Analysis of Books and Its impact on children using Deep Learning

LSTM Model based Twitter Text Emotions Analysis

Sentiment Analysis Projects

Natural Language Processing Course- MOOC

Sentiment Analysis of Indonesian Negative Comments on Social Media Using Long Short-Term Memory (LSTM)

Vietnamese Student Feedback Sentiment Analysis

This repository contains experimental results and the comparitive study and implementation of Cerebral LSTM.

Sentiment Analysis with IMDB Movie Reviews

This repository contains my notes and codes which I will refer in future projects

Sentiment Analysis : PyTorch Implementation, Tensorflow Keras Implementation

Torch code for Visual Question Generation

the model for weather

My data science portfolio featuring completed projects for academic, self-learning, and hobby purposes. Includes detailed descriptions of data analysis, visualization, machine learning, and deep learning projects such as predicting customer churn, analyzing social media sentiment, and detecting fraud in financial transactions,etc

Predicts emojis based on sentiment and meaning of sentences using LSTM and Glove algorithm