Group-2-Parsing-Product-and-User-review-data-using-NLP

The main objective of this research is to predict the Category for a given review.

Our research helps a customer to search and choose a product of his/her choice very easily.

Want to more about the research just goto Report directory

Now this repo. contains 3 main folders -

1. Code - This folder contains the all the code files. The language used is python for coding.

   a. nlp_mod.py - the code for prediction and generating various result like, sentiment, keywords, companies are done in this file.

   b. webpage.py - to make our research more understandable we use a UI or a webpage which is made using flask, this webpage contains all the required button to print the result.

2. UI -

   a. templates - in this directory a "main.html" is present which is used for the UI design and this single file does all the work, no external HTML required for Buttons or any other action to get performed.

this is a independent directory which can be run just by adding nlp_mod file and the you can easily see deployed UI.

TO RUN ALL THESE CODE YOU HAVE TO INSTALL ALL MODULES IN REQUIREMENT.TXT

This is the flowchart showing how we had done the whole project step by step

3. Report - as i mentioned above if you want to learn about each and every step whether it is Methodology, Visualization or data you can see the Report.pdf file.

code.rar

if you want to directly run the whole project, than just downlaod and extarct this archive and run webpage.py

This research project was done by our team -

1. Shiva Baghel (Me)

2. Sonal Priya

3. Harsh Raj

4. Nirpesh Joshi

5. Nishant Singh