Twitter Sentiment Analysis And Word Embeddings by Kaggle | Sports

About this Dataset

Twitter Sentiment Analysis And Word Embeddings

Content

TSA model v3

The third version of the Sentiment Analysis model trained in this notebook.

Dataset folder

GloVe embeddings
Sentiment140 Dataset (train+test)

Root path

Messi and Ronaldo tweets : raw-fetched tweets about Messi and Ronaldo
Cleaned Messi and Ronaldo tweets : the same tweets, but with their content cleaned (extra spaces and link removal, etc). Consult the Data cleaning notebook for more details about the process.
Predictions : inferences results on the aforementioned datasets. Learn more
Final dataset : geo-location retrieval and aggregations performed on the predictions result

Tables

Cleaned Messi Tweets

@kaggle.ibrahimserouis99_twitter_sentiment_analysis_and_word_embeddings.cleaned_messi_tweets

35.56 MB
465223 rows
10 columns


CREATE TABLE cleaned_messi_tweets (
  "tweet_id" BIGINT,
  "author_id" BIGINT,
  "content" VARCHAR,
  "lang" VARCHAR,
  "date" VARCHAR,
  "source" VARCHAR,
  "geo" VARCHAR,
  "retweet_count" BIGINT,
  "like_count" BIGINT,
  "quote_count" BIGINT
);

Cleaned Ronaldo Tweets

@kaggle.ibrahimserouis99_twitter_sentiment_analysis_and_word_embeddings.cleaned_ronaldo_tweets

39.47 MB
501926 rows
10 columns


CREATE TABLE cleaned_ronaldo_tweets (
  "tweet_id" BIGINT,
  "author_id" BIGINT,
  "content" VARCHAR,
  "lang" VARCHAR,
  "date" VARCHAR,
  "source" VARCHAR,
  "geo" VARCHAR,
  "retweet_count" DOUBLE,
  "like_count" DOUBLE,
  "quote_count" DOUBLE
);

Messi Final

@kaggle.ibrahimserouis99_twitter_sentiment_analysis_and_word_embeddings.messi_final

37.23 MB
435163 rows
12 columns


CREATE TABLE messi_final (
  "tweet_id" BIGINT,
  "author_id" BIGINT,
  "content" VARCHAR,
  "lang" VARCHAR,
  "date" VARCHAR,
  "source" VARCHAR,
  "geo" VARCHAR,
  "retweet_count" BIGINT,
  "like_count" BIGINT,
  "quote_count" BIGINT,
  "prediction" DOUBLE,
  "label" VARCHAR
);

Messi Tweets

@kaggle.ibrahimserouis99_twitter_sentiment_analysis_and_word_embeddings.messi_tweets

56.44 MB
502785 rows
10 columns


CREATE TABLE messi_tweets (
  "tweet_id" VARCHAR,
  "author_id" VARCHAR,
  "content" VARCHAR,
  "lang" VARCHAR,
  "date" VARCHAR,
  "source" VARCHAR,
  "geo" VARCHAR,
  "retweet_count" VARCHAR,
  "like_count" VARCHAR,
  "quote_count" VARCHAR
);

Predictions Messi

@kaggle.ibrahimserouis99_twitter_sentiment_analysis_and_word_embeddings.predictions_messi

37.26 MB
435163 rows
12 columns


CREATE TABLE predictions_messi (
  "tweet_id" BIGINT,
  "author_id" BIGINT,
  "content" VARCHAR,
  "lang" VARCHAR,
  "date" VARCHAR,
  "source" VARCHAR,
  "geo" VARCHAR,
  "retweet_count" BIGINT,
  "like_count" BIGINT,
  "quote_count" BIGINT,
  "prediction" DOUBLE,
  "label" VARCHAR
);

Predictions Ronaldo

@kaggle.ibrahimserouis99_twitter_sentiment_analysis_and_word_embeddings.predictions_ronaldo

41 MB
471846 rows
12 columns


CREATE TABLE predictions_ronaldo (
  "tweet_id" BIGINT,
  "author_id" BIGINT,
  "content" VARCHAR,
  "lang" VARCHAR,
  "date" VARCHAR,
  "source" VARCHAR,
  "geo" VARCHAR,
  "retweet_count" DOUBLE,
  "like_count" DOUBLE,
  "quote_count" DOUBLE,
  "prediction" DOUBLE,
  "label" VARCHAR
);

Ronaldo Final

@kaggle.ibrahimserouis99_twitter_sentiment_analysis_and_word_embeddings.ronaldo_final

40.95 MB
471846 rows
12 columns


CREATE TABLE ronaldo_final (
  "tweet_id" BIGINT,
  "author_id" BIGINT,
  "content" VARCHAR,
  "lang" VARCHAR,
  "date" VARCHAR,
  "source" VARCHAR,
  "geo" VARCHAR,
  "retweet_count" DOUBLE,
  "like_count" DOUBLE,
  "quote_count" DOUBLE,
  "prediction" DOUBLE,
  "label" VARCHAR
);

Ronaldo Tweets

@kaggle.ibrahimserouis99_twitter_sentiment_analysis_and_word_embeddings.ronaldo_tweets

57.96 MB
502635 rows
10 columns


CREATE TABLE ronaldo_tweets (
  "tweet_id" VARCHAR,
  "author_id" VARCHAR,
  "content" VARCHAR,
  "lang" VARCHAR,
  "date" VARCHAR,
  "source" VARCHAR,
  "geo" VARCHAR,
  "retweet_count" VARCHAR,
  "like_count" VARCHAR,
  "quote_count" VARCHAR
);