Name: Twitter Sentiment Analysis
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Twitter Sentiment Analysis

Twitter Sentiment Analysis Dataset

Overview

This is an entity-level sentiment analysis dataset of twitter. Given a message and an entity, the task is to judge the sentiment of the message about the entity. There are three classes in this dataset: Positive, Negative and Neutral. We regard messages that are not relevant to the entity (i.e. Irrelevant) as Neutral.

Usage

Please use twitter_training.csv as the training set and twitter_validation.csv as the validation set. Top 1 classification accuracy is used as the metric.

Tables

Twitter Training

@kaggle.jp797498e_twitter_entity_sentiment_analysis.twitter_training

3.33 MB
74,681 rows
4 columns

CREATE TABLE twitter_training (
  "n_2401" BIGINT  -- 2401,
  "borderlands" VARCHAR,
  "positive" VARCHAR,
  "im_getting_on_borderlands_and_i_will_murder_you_all" VARCHAR  -- Im Getting On Borderlands And I Will Murder You All ,
);

Twitter Validation

@kaggle.jp797498e_twitter_entity_sentiment_analysis.twitter_validation

115.26 kB
999 rows
4 columns

CREATE TABLE twitter_validation (
  "n_3364" BIGINT  -- 3364,
  "facebook" VARCHAR,
  "irrelevant" VARCHAR,
  "i_mentioned_on_facebook_that_i_was_struggling_for_moti_8616992d" VARCHAR  -- I Mentioned On Facebook That I Was Struggling For Motivation To Go For A Run The Other Day, Which Has Been Translated By Tom’s Great Auntie As ‘Hayley Can’t Get Out Of Bed’ And Told To His Grandma, Who Now Thinks I’m A Lazy, Terrible Person 🤣
);