Dataset: Amazon Product Reviews Dataset

About this Dataset

Amazon Product Reviews Dataset

Description:

The dataset consists of samples from Amazon Ratings for select products. The reviews are picked randomly and the corpus has nearly 1.6k reviews of different customers.
Amazon aims to understand what are the main topics of these reviews to classify them for easier search.
Can you build a strong model that differentiates the topics based on the reviews corpus?

Acknowledgements

The dataset is referred from Kaggle.

Objective:

Understand the Dataset & perform the necessary cleanup.
Build a strong Topic Modelling Algorithm to classify the topics.

Tables

N 7817–1

@kaggle.yasserh_amazon_product_reviews_dataset.n_7817_1

536.2 KB
1597 rows
27 columns


CREATE TABLE n_7817_1 (
  "id" VARCHAR,
  "asins" VARCHAR,
  "brand" VARCHAR,
  "categories" VARCHAR,
  "colors" VARCHAR,
  "dateadded" VARCHAR,
  "dateupdated" VARCHAR,
  "dimension" VARCHAR,
  "ean" DOUBLE,
  "keys" VARCHAR,
  "manufacturer" VARCHAR,
  "manufacturernumber" VARCHAR,
  "name" VARCHAR,
  "prices" VARCHAR,
  "reviews_date" VARCHAR,
  "reviews_dorecommend" VARCHAR,
  "reviews_numhelpful" DOUBLE,
  "reviews_rating" DOUBLE,
  "reviews_sourceurls" VARCHAR,
  "reviews_text" VARCHAR,
  "reviews_title" VARCHAR,
  "reviews_usercity" VARCHAR,
  "reviews_userprovince" VARCHAR,
  "reviews_username" VARCHAR,
  "sizes" VARCHAR,
  "upc" DOUBLE,
  "weight" VARCHAR
);