Baselight

Reddit: /r/technology (Submissions & Comments)

Title, Score, ID, URL, Comment Number, and Timestamp

@kaggle.thedevastator_uncovering_technology_insights_through_reddit_di

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About this Dataset

Reddit: /r/technology (Submissions & Comments)


Reddit: /r/technology (Submissions & Comments)

Title, Score, ID, URL, Comment Number, and Timestamp

By Reddit [source]


About this dataset

This dataset, labeled as Reddit Technology Data, provides thorough insights into the conversations and interactions around technology-related topics shared on Reddit – a well-known Internet discussion forum. This dataset contains titles of discussions, scores as contributed by users on Reddit, the unique IDs attributed to different discussions, URLs of those hidden discussions (if any), comment counts in each discussion thread and timestamps of when those conversations were initiated. As such, this data is supremely valuable for tech-savvy people wanting to stay up to date with the new developments in their field or professionals looking to keep abreast with industry trends. In short, it is a repository which helps people make sense and draw meaning out of what’s happening in the technology world at large - inspiring action on their part or simply educating them about forthcoming changes

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How to use the dataset

The dataset includes six columns containing title, score, url address link to the discussion page on Reddit itself ,comment count ,created time stamp meaning when was it posted/uploaded/communicated and body containing actual text written regarding that particular post/discussion. By separately analyzing each column it can be made out what type information user require in regard with various aspects related to technology based discussions. One can develop hypothesis about correlations between different factors associated with rating or comment count by separate analysis within those columns themselves like discuss what does people comment or react mostly upon viewing which type of post inside reddit ? Does high rating always come along with extremely long comments.? And many more .By researching this way one can discover real facts hidden behind social networking websites such as reddit which contains large amount of rich information regarding user’s interest in different topics related to tech gadgets or otherwise .We can analyze different trends using voice search technology etc in order visualize users overall reaction towards any kind of information shared through public forums like stack overflow sites ,facebook posts etc .These small instances will allow us gain heavy insights for research purpose thereby providing another layer for potential business opportunities one may benefit from over a given period if not periodcally monitored .

Research Ideas

  • Companies can use this dataset to create targeted online marketing campaigns directed towards Reddit users interested in specific areas of technology.
  • Academic researchers can use the data to track and analyze trends in conversations related to technology on Reddit over time.
  • Technology professionals can utilize the comments and discussions on this dataset as a way of gauging public opinion and consumer sentiment towards certain technological advancements or products

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: technology.csv

Column name Description
title The title of the discussion. (String)
score The score of the discussion as measured by Reddit contributors. (Integer)
url The website URL associated with the discussion. (String)
comms_num The number of comments associated with the discussion. (Integer)
created The date and time the discussion was created. (DateTime)
body The body content of the discussion. (String)
timestamp The timestamp of the discussion. (Integer)

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

Technology

@kaggle.thedevastator_uncovering_technology_insights_through_reddit_di.technology
  • 274.2 KB
  • 1757 rows
  • 8 columns
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CREATE TABLE technology (
  "title" VARCHAR,
  "score" BIGINT,
  "id" VARCHAR,
  "url" VARCHAR,
  "comms_num" BIGINT,
  "created" DOUBLE,
  "body" VARCHAR,
  "timestamp" TIMESTAMP
);

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