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trip_advisor_scrap's Introduction

Capgemini Datacamp:

Table of contents

Deliverable 1:

General info

Implements a spider to crawl trip advisor looking for restaurant reviews.

Technologies

Project is created with:

  • Python version: 3..
  • Scrapy

Setup

To run this project, install it locally:

pip install -r requirements.txt
scrapy ReviewRestoTA --overwrite-output=TA_reviews/scrapped_data/scrapped_data.jl

Data from webscraping will be in ../trip_advisor_scrap/TA_reviews/TA_reviews/scrapped_data.

Deliverable 2:

General info

Preprocessed data obtained in first part of the project. Main delivery in Deliverable.ipynb Performed:

  • Data cleaning
  • Data exploration
  • Tokenization, stemming, and lemmatization
  • TF-IDF

Technologies

  • Python version: 3..
  • nltk
  • pycld2
  • Wordcloud

Setup

Make sure to install dependencies before running the notebook. Also make sure that the steps taken in Deliverable 1 have all been taken.

pip install -r requirements.txt

Deliverable 3:

General info

Performed data augmentation and embedding methods on the preprocessed data from Deliverable 2. Main delivery in Deliverable3.ipynb Performed:

  • Data augmentation
  • Word2Vec
  • LSI
  • FasText
  • SVD

Technologies

  • Python version: 3..
  • gensim
  • sklearn
  • nltk

Setup

Make sure to install dependencies before running the notebook. Also make sure that the steps taken in Deliverable 2 have all been taken.

pip install -r requirements.txt

trip_advisor_scrap's People

Contributors

henrique-britoleao avatar julien-bernardo avatar camillebeguin avatar martha-braun avatar nicolasbdls avatar

Watchers

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