Performing Sentiment Analysis of tweets using LSTM
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Updated
Dec 20, 2022 - Jupyter Notebook
Performing Sentiment Analysis of tweets using LSTM
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.
Natural Language Processing Course- MOOC
Sentiment Analysis of Indonesian Negative Comments on Social Media Using Long Short-Term Memory (LSTM)
This repository contains experimental results and the comparitive study and implementation of Cerebral LSTM.
Sentiment Analysis with IMDB Movie Reviews
Assignment of Introduction to Artificial Intelligence
An LSTM model is trained in this project to identify the sentiment of a given review. Flask is used along with gunicorn to develop a web application that gives the sentiment of the user review. Docker and Kubernetes are used in the Google Cloud Platform to deploy and scale the model.
REST API para exponer modelo de red reuronal recurrente (LSTM) para analisis de sentimientos usando base de datos de twitter
Text-Shield-Offensive-Text-Detection
Sentiment classification: From ML to DL to very DL models
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
Text classifier to classify app reviews on a scale of 1 to 5 using LSTM.
Sentiment Analysis with LSTM Neural Networks | NRNU MEPhI (spring 2018)
Flask application for task classification of incoming emails, PDFs and images.
Minor Project - Sentiment Analysis Model
Machine Learning Deployment using AWS SageMaker
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