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
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Updated
Jan 12, 2022 - HTML
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)
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.
Sentiment Analysis of Books and Its impact on children using Deep Learning
LSTM Model based Twitter Text Emotions Analysis
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
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
Text classifier to classify app reviews on a scale of 1 to 5 using LSTM.
Sentiment Analysis Projects
Sentiment Analysis with IMDB Movie Reviews
Torch code for Visual Question Generation
This repository contains my notes and codes which I will refer in future projects
This repository contains experimental results and the comparitive study and implementation of Cerebral LSTM.
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