Name: Monkeypox Tweets
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Monkeypox Tweets

Overview

The CSV data file contains tweets scraped from twitter about Monkeypox. The file contains eight significant columns namely:

date - Date of the tweet
time - Time of tweet
id - Twitter username ID of the person who tweeted about monkeypox
tweet - Text about monkeypox
language - Language used in the tweet
replies_count - Number of replies for the tweet
retweets_count - Number of retweets
likes_count - Number of likes

Similar Dataset

You may also want to check out the Monkeypox Reddit Dataset: https://www.kaggle.com/datasets/vencerlanz09/monkeypox-reddit-topics

Monkeypox Reddit Topics EDA + Sentiment Analysis Notebook: https://www.kaggle.com/code/vencerlanz09/monkeypox-reddit-topics-eda-sentiment-analysis

Inspiration

I'm currently starting to learn about NLP and I'm planning to create an algorithm that could predict whether a certain tweet is about monkey pox or not. Hopefully, I could grasp the concepts quickly and gather an appropriate dataset as my personal project.

Tables

Mpox 08–19–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_19_2022

1.21 MB
10,015 rows
9 columns

CREATE TABLE mpox_08_19_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 08–20–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_20_2022

1.25 MB
10,017 rows
9 columns

CREATE TABLE mpox_08_20_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 08–21–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_21_2022

755.45 kB
6,444 rows
9 columns

CREATE TABLE mpox_08_21_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 08–22–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_22_2022

874.89 kB
7,146 rows
9 columns

CREATE TABLE mpox_08_22_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 08–23–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_23_2022

892.28 kB
7,103 rows
9 columns

CREATE TABLE mpox_08_23_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 08–24–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_24_2022

719.73 kB
5,633 rows
9 columns

CREATE TABLE mpox_08_24_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 08–25–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_25_2022

784.89 kB
6,663 rows
9 columns

CREATE TABLE mpox_08_25_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 08–26–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_26_2022

676.58 kB
5,373 rows
9 columns

CREATE TABLE mpox_08_26_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 08–27–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_27_2022

470.25 kB
4,135 rows
9 columns

CREATE TABLE mpox_08_27_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 08–28–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_28_2022

881.79 kB
3,360 rows
36 columns

CREATE TABLE mpox_08_28_2022 (
  "id" BIGINT,
  "conversation_id" BIGINT,
  "created_at" VARCHAR,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "timezone" BIGINT,
  "user_id" BIGINT,
  "username" VARCHAR,
  "name" VARCHAR,
  "place" VARCHAR,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "mentions" VARCHAR,
  "urls" VARCHAR,
  "photos" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT,
  "hashtags" VARCHAR,
  "cashtags" VARCHAR,
  "link" VARCHAR,
  "retweet" BOOLEAN,
  "quote_url" VARCHAR,
  "video" BIGINT,
  "thumbnail" VARCHAR,
  "near" VARCHAR,
  "geo" VARCHAR,
  "source" VARCHAR,
  "user_rt_id" VARCHAR,
  "user_rt" VARCHAR,
  "retweet_id" VARCHAR,
  "reply_to" VARCHAR,
  "retweet_date" VARCHAR,
  "translate" VARCHAR,
  "trans_src" VARCHAR,
  "trans_dest" VARCHAR
);

Mpox 08–29–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_29_2022

622.31 kB
6,964 rows
9 columns

CREATE TABLE mpox_08_29_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 08–30–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_30_2022

691.88 kB
6,859 rows
9 columns

CREATE TABLE mpox_08_30_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 08–31–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_08_31_2022

639.09 kB
5,562 rows
9 columns

CREATE TABLE mpox_08_31_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 09–01–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_09_01_2022

443.13 kB
3,668 rows
9 columns

CREATE TABLE mpox_09_01_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 09–02–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_09_02_2022

435.63 kB
3,568 rows
9 columns

CREATE TABLE mpox_09_02_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);

Mpox 09–03–2022

@kaggle.vencerlanz09_monkeypox_tweets.mpox_09_03_2022

322.5 kB
2,736 rows
9 columns

CREATE TABLE mpox_09_03_2022 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "time" VARCHAR,
  "id" BIGINT,
  "tweet" VARCHAR,
  "language" VARCHAR,
  "replies_count" BIGINT,
  "retweets_count" BIGINT,
  "likes_count" BIGINT
);