Baselight

Reddit: /r/movies (Submissions & Comments)

Analyzing User Interaction and User Feedback

@kaggle.thedevastator_unlocking_movie_engagements_and_insights_through

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About this Dataset

Reddit: /r/movies (Submissions & Comments)


Reddit: /r/movies (Submissions & Comments)

Analyzing User Interaction and User Feedback

By Reddit [source]


About this dataset

This dataset provides an insight into the relationship between user engagement and reviews of films on Reddit. Featuring over a thousand threads related to movies, this dataset includes detailed information such as title, rating, thread ID url, number of comments, creation date, post body and timestamp. With this data set you can evaluate how well users are responding to films and gain insights into their opinions and interactions. In addition to uncovering relationships between user engagement and comments on films, this dataset can help deepen your understanding of film discussion on Reddit by enabling further exploration of trends in the data. Access customer feedback at a deeper level so you can identify opportunities for improvement within your own business operations!

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How to use the dataset

This dataset provides insights into user engagement and user feedback on movies by taking a look at their participation on Reddit. It contains over a thousand threads related to movies with each thread containing its title, score, ID, URL, number of comments, created date, body and timestamp. This dataset is useful for exploring how the Reddit community interacts with different films.

Research Ideas

  • Analyzing user engagement patterns of movies on Reddit by plotting visualizations such as bar graphs, line graphs and heat maps to understand the correlation between user activity and rating scores over time.
  • Tracking which movie threads attract the highest amount of discussions and identifying features that contribute to more engaging interaction among users.
  • Identifying topics or key words related to receiving positive ratings based on user feedback in order to create successful, highly rated movies in the future!

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: movies.csv

Column name Description
title The title of the movie being discussed. (String)
score The rating of the movie by other commenters. (Integer)
url The link to the original post. (String)
comms_num The number of comments associated with the post. (Integer)
created The date when the thread was posted. (Date)
body The text contained in the post discussion. (String)
timestamp The time when individual comments were posted. (Date)

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

Movies

@kaggle.thedevastator_unlocking_movie_engagements_and_insights_through.movies
  • 605.51 KB
  • 1915 rows
  • 8 columns
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CREATE TABLE movies (
  "title" VARCHAR,
  "score" BIGINT,
  "id" VARCHAR,
  "url" VARCHAR,
  "comms_num" BIGINT,
  "created" DOUBLE,
  "body" VARCHAR,
  "timestamp" TIMESTAMP
);

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