Skip to content

Sneha421/Sentiment-Analysis-of-Amazon-Reviews

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 

Repository files navigation

Sentiment-Analysis-of-Amazon-Reviews

About

This project deals with text analysis, visualization and prediction of the sentiment of the reviews from the Amazon Reviews Dataset. A comparative study of various Machine Learning algorithms has been performed to understand which one produces the best results.

Team Members

  1. Dipshikha Biswas
  2. Harshitha Nagarajan
  3. Sneha B

Dataset Used

The Amazon Reviews Dataset from Kaggle has been used.

Workflow

image

General Workflow of Implementation

image

Steps for Natural Language Processing

Technologies Used

  1. Pyspark - For Data Engineering
  2. The ML and MLLib libraries - For prediction
  3. Anvil - For building the GUI. It is a free Python-based drag-and-drop web app builder.

Steps to run the GUI

  1. Download the files given in the folder Anvil Files. These contain the saved models and vectorizers on which the GUI will run.
  2. Run all the cells given in Anvil_GUI.ipynb. This can be found in Code Files -> Anvil_GUI.ipynb
  3. Go to this link to run the GUI

image

About

Classifies a review as positive or negative

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published