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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
DEPLOYMENT A SENTIMENT ANALYSIS RECURRENT NEURAL NETWORK MODEL USING PYTORCH ON AWS SEGMAKER.
Authors
Ms. Ankita Tiwari, Mr.Kaustubh suryawanshi, Mr. Ganesh thube, Mr. Jay wani, Apashabi Pathan
Keywords
Deployment A Sentiment Analysis Recurrent Neural Network Model Using Pytorch On Aws Segmaker.
Abstract
A Sentiment Analysis Classifier web-app, made using PyTorch and deployed in AWS with SageMaker. A required project for the Udacity Machine Learning Engineer Nanodegree. Sentiment Analysis web app is a notebook and collection of Python files to be completed. The result is a deployed RNN performing sentiment analysis on movie reviews complete with publicly accessible API and a simple web page which interacts with the deployed endpoint. This project assumes that you have some familiarity with SageMaker. Completing the XGBoost Sentiment Analysis notebook should suffice. The notebook and Python files provided, once completed, result in a simple web app which interacts with a deployed recurrent neural network performing sentiment analysis on movie reviews. This project assumes some familiarity with SageMaker, the mini-project, Sentiment Analysis using XGBoost, should provide enough background.
IJCRT's Publication Details
Unique Identification Number - IJCRTI020005
Paper ID - 211749
Page Number(s) - 22-24
Pubished in - Volume 9 | Issue 11 | November 2021
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Ms. Ankita Tiwari, Mr.Kaustubh suryawanshi, Mr. Ganesh thube, Mr. Jay wani, Apashabi Pathan, "DEPLOYMENT A SENTIMENT ANALYSIS RECURRENT NEURAL NETWORK MODEL USING PYTORCH ON AWS SEGMAKER.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 11, pp.22-24, November 2021, Available at :http://www.ijcrt.org/papers/IJCRTI020005.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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