https://github.com/mariianikitash/amazondataanalysis

Custom feedforward neural network for Amazon books review data set.
https://github.com/mariianikitash/amazondataanalysis

keras nltk python3 sklearn

Last synced: 4 months ago
JSON representation

Custom feedforward neural network for Amazon books review data set.

• Host: GitHub
• URL: https://github.com/mariianikitash/amazondataanalysis
• Owner: MariiaNikitash
• Created: 2024-08-01T17:09:32.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-08-04T02:25:16.000Z (6 months ago)
• Last Synced: 2024-09-28T05:09:23.118Z (4 months ago)
• Topics: keras, nltk, python3, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 927 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
## Sentimet Analysis for Books Review Data Set from Amazon.com 

Implemented Feedforward neural network to classify whether a book review is negative or positive.

### Purpose:

Sentimet Analysis is an important problem for a company like Amazon, because the model with good positive book review prediction rates can help Amazon understand customer sentiment, Amazon can identify issues with specific books or vendors and take corrective actions to maintain high-quality products.