Dataset: Amazon Reviews For Sentiment Analysis

About this Dataset

Amazon Reviews For Sentiment Analysis

Amazon Reviews of Software, Fashion, Video Games split according to different years.
Software: 459,436 reviews
Fashion: 883,636 reviews
Video Games: 2,565,349 reviews
Columns: Id, overall(sentiment),reviewTime(year),reviewText
sentiment: {-1(negative),0(neutral),1(positive)}

Tables

N 02–06

@kaggle.haoboxu_amazon_reviews_for_sentiment_analysis.n_02_06

137.91 KB
530 rows
4 columns


CREATE TABLE n_02_06 (
  "unnamed_0" BIGINT,
  "overall" DOUBLE,
  "reviewtime" BIGINT,
  "reviewtext" VARCHAR
);

N 07–12

@kaggle.haoboxu_amazon_reviews_for_sentiment_analysis.n_07_12

3.14 MB
16800 rows
4 columns


CREATE TABLE n_07_12 (
  "unnamed_0" BIGINT,
  "overall" DOUBLE,
  "reviewtime" BIGINT,
  "reviewtext" VARCHAR
);

N 13–17

@kaggle.haoboxu_amazon_reviews_for_sentiment_analysis.n_13_17

60.11 MB
680451 rows
4 columns


CREATE TABLE n_13_17 (
  "unnamed_0" BIGINT,
  "overall" DOUBLE,
  "reviewtime" BIGINT,
  "reviewtext" VARCHAR
);

N 18

@kaggle.haoboxu_amazon_reviews_for_sentiment_analysis.n_18

4.02 MB
50377 rows
4 columns


CREATE TABLE n_18 (
  "unnamed_0" BIGINT,
  "overall" DOUBLE,
  "reviewtime" BIGINT,
  "reviewtext" VARCHAR
);

N 97–06

@kaggle.haoboxu_amazon_reviews_for_sentiment_analysis.n_97_06

46.2 MB
95400 rows
4 columns


CREATE TABLE n_97_06 (
  "unnamed_0" BIGINT,
  "overall" DOUBLE,
  "reviewtime" BIGINT,
  "reviewtext" VARCHAR
);

N 98–06

@kaggle.haoboxu_amazon_reviews_for_sentiment_analysis.n_98_06

12.44 MB
27031 rows
4 columns


CREATE TABLE n_98_06 (
  "unnamed_0" BIGINT,
  "overall" DOUBLE,
  "reviewtime" BIGINT,
  "reviewtext" VARCHAR
);