Skip to main content

straight forward rnn model

Project description

Introduction

This repo contains Neural Nets written in the pytorch framework for sentiment analysis on labeled reviews from Yelp.
A LSTM based torch model can be found in the rnn folder.

To setup environments and run the rnn example see instructions below:

get the yelp dataset from https://www.yelp.com/dataset
conda create -n {env}  
conda install pip  
pip install -e .  
run

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

torch_sentiment-0.4.2.tar.gz (8.2 kB view details)

Uploaded Source

Built Distribution

torch_sentiment-0.4.2-py3-none-any.whl (10.0 kB view details)

Uploaded Python 3

File details

Details for the file torch_sentiment-0.4.2.tar.gz.

File metadata

  • Download URL: torch_sentiment-0.4.2.tar.gz
  • Upload date:
  • Size: 8.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for torch_sentiment-0.4.2.tar.gz
Algorithm Hash digest
SHA256 94d9cad06564286748ad00f3dc8adca914d9721163fc126743e486ff625c7f35
MD5 5c864d4499ade34c3ba7890907744e34
BLAKE2b-256 b316515c863d12a54a1a8c16ed339618eb0e434dda10001f35664a594cab7921

See more details on using hashes here.

File details

Details for the file torch_sentiment-0.4.2-py3-none-any.whl.

File metadata

File hashes

Hashes for torch_sentiment-0.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 8d83c5093cd3115b0b20d9bdfd757f198f58b732610c3ad0604d51e8e46e9136
MD5 d5f12bba541bf3b546344f2f4d2232b9
BLAKE2b-256 9e217fe1a843d1f08ca34c2751d1361e7c0aedd1bd1dee5d100408bcfaf8a9c9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page