Uncovering Popularity And Sentiment Around Books by Kaggle | Ecommerce and Consumer Trends

About this Dataset

Uncovering Popularity And Sentiment Around Books

Uncovering Popularity and Sentiment around Books on Reddit

Exploring User's Preferences and Behaviors

About this dataset

This dataset offers a unique and detailed look into the conversations and activities taking place in the Books Subreddit on Reddit. It contains data on book titles, scores, URLs, numbers of comments, creation dates and timestamps. With this dataset, researchers can gain valuable insights into how books are being perceived and discussed by people from all walks of life - from professional reviewers to casual readers. Analyzing this data can allow us to understand popular topics within the community as well as uncover trends in user engagement over time. Furthermore, it allows us to see the types of suggestions that users are making with regards to their favorite books. Ultimately this could give important information to publishers looking for what their next bestseller might be!

More Datasets

For more datasets, click here.

Featured Notebooks

🚨 Your notebook can be here! 🚨!

How to use the dataset

To use this dataset effectively, here are some tips:

Analyze the ‘score’ column to measure book popularity – higher scores indicate more views/votes by users.

Use ‘comms_num’ to gauge user engagement with a particular post as it indicates how many comments a post has received from users.

Look at different subreddits from where books come from (use ‘url’) - this can give you invaluable insights into different perspective on books being shared online!

Utilize dates like ‘created’ or ‘timestamp’ to track events and changes over time related to popular books on Reddit over time – identify seasonal trends etc related to particular titles or genres!

Pay attention to posts with high score & widespread engagement (average comms_num per title). These posts represent potential opportunities for cross-promotion as they have already gained popularity within the community!

Using these key indicators, you can gain deeper insight into how users share and talk about books online in order to make more informed decisions while planning your book promotions strategy!

Research Ideas

Measuring the impact of books on Reddit - by analyzing the number of comments, scores, and creation dates associated with books posted in the subreddit, we can better gauge how popular they were and what effect they had on readers.

Analyzing trends in book genres - by tracking changes in topics over time, we can identify which types of books are becoming increasingly popular amongst users and which genres are waning in interest.

Determining user preferences - by reading through comments left on posts about books, we can discover what readers like about particular titles or authors as well as their overall opinion about certain genres or topics. This information can be used to create targeted marketing campaigns or refine author approach when writing future works

Acknowledgements

If you use this dataset in your research, please credit the original authors.

Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: books.csv

Column name	Description
title	The title of the book being discussed. (String)
score	The score of the post, which is determined by the number of upvotes and downvotes. (Integer)
url	The URL of the post. (String)
comms_num	The number of comments on the post. (Integer)
created	The date the post was created. (Date)
body	The body of the post. (String)
timestamp	The timestamp of the post. (Timestamp)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Reddit.

Tables

Books

@kaggle.thedevastator_uncovering_popularity_and_sentiment_around_books.books

847.67 KB
1850 rows
8 columns


CREATE TABLE books (
  "title" VARCHAR,
  "score" BIGINT,
  "id" VARCHAR,
  "url" VARCHAR,
  "comms_num" BIGINT,
  "created" DOUBLE,
  "body" VARCHAR,
  "timestamp" TIMESTAMP
);