https://github.com/martindevans/basic-sentiment

A project for learning machine learning with Keras
https://github.com/martindevans/basic-sentiment

Last synced: 5 days ago
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A project for learning machine learning with Keras

• Host: GitHub
• URL: https://github.com/martindevans/basic-sentiment
• Owner: martindevans
• Created: 2018-11-27T03:22:09.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-29T04:19:17.000Z (almost 6 years ago)
• Last Synced: 2024-12-29T18:33:47.822Z (28 days ago)
• Language: Python
• Size: 39.1 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
## Projects

### sentiment

This is a basic LSTM sentiment analyser, train on an ad-hoc dataset of movie reviews, yelp reviews and manually classified tweets. Data should be in files with each line being a single entry:

`Sentenceclassification`

`Classification` should be a number. `0` indicates negative, `1` indicates positive and `2` indicates neutral.

### w2v

This is an attempt at training a word2vec model. Using three datasets:

 - The ad-hoc sentiment dataset in the previous project

 - `Gutenbergdammit` dataset from 

 - `Wikipedia` dataset from polyglot project 

### pretrained-w2v