Tweets On T20 World Cup 2022
40,000+ tweets on the world cup T20 just after the India v/ Pakistan match
@kaggle.aneeshtickoo_tweets_on_t20_world_cup_2022
40,000+ tweets on the world cup T20 just after the India v/ Pakistan match
@kaggle.aneeshtickoo_tweets_on_t20_world_cup_2022
Tweets from around the world on the T20 world cup just after the India v/s Pakistan match on 23 October 2022.
Columns: ['id', 'conversation_id', 'created_at', 'date', 'time', 'timezone', 'user_id', 'username', 'name', 'place', 'tweet', 'language', 'mentions', 'urls', 'photos', 'replies_count', 'retweets_count', 'likes_count', 'hashtags', 'cashtags', 'link', 'retweet', 'quote_url', 'video', 'thumbnail', 'near', 'geo', 'source', 'user_rt_id', 'user_rt', 'retweet_id', 'reply_to', 'retweet_date', 'translate', 'trans_src', 'trans_dest']
Twint has been a helpful library to scrape tweets without getting stuck in the limitations of the Twitter API.
CREATE TABLE t20 (
"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
);Anyone who has the link will be able to view this.