Name: 2024 U.S. Election Sentiment On X
Creator: Kaggle
License: https://opensource.org/licenses/MIT

About this Dataset

2024 U.S. Election Sentiment On X

Title:
2024 U.S. Presidential Race on X: Sentiment and Trends

Description:
Uncover the dynamics of the 2024 U.S. Presidential Race with this robust dataset from X (formerly Twitter), capturing public sentiment, critical policy discussions, and party-level engagement. This dataset provides an unparalleled opportunity to analyze real-time public reactions during one of the most pivotal election years in history.

Dataset Highlights:

Comprehensive Candidate Coverage: Includes data on major contenders such as Kamala Harris (Democratic Party), Donald Trump (Republican Party), Jill Stein (Green Party), Chase Oliver (Libertarian Party), and Robert Kennedy (Independent).
Time-Sensitive Insights: Captures key events, debates, and policy announcements from January to February 2025, allowing for longitudinal trend analysis during the 2024 election cycle's final phases.
Rich Metadata: Each entry includes tweet text, timestamp, user handle, sentiment labels (positive, negative, neutral), retweets, likes, and party affiliation, offering a multidimensional view of public opinion.
Practical Use Cases: Ideal for sentiment analysis, topic clustering, real-time trend detection, and understanding the role of digital platforms in shaping electoral outcomes.
Actionable Insights: Explore how social media influences voter behavior, amplifies campaign messages, and reflects societal priorities during elections.

This dataset serves as a goldmine for data scientists, political analysts, and machine learning practitioners looking to decode the impact of X on modern electoral dynamics. Use it to build predictive models, conduct sentiment analysis, or visualize the digital pulse of the 2024 U.S. Presidential Race.

Tables

Test

@kaggle.emirhanai_2024_u_s_election_sentiment_on_x.test

10.96 kB
50 rows
9 columns

CREATE TABLE test (
  "tweet_id" BIGINT,
  "user_handle" VARCHAR,
  "timestamp" TIMESTAMP,
  "tweet_text" VARCHAR,
  "candidate" VARCHAR,
  "party" VARCHAR,
  "retweets" BIGINT,
  "likes" BIGINT,
  "sentiment" VARCHAR
);

Train

@kaggle.emirhanai_2024_u_s_election_sentiment_on_x.train

25.02 kB
500 rows
9 columns

CREATE TABLE train (
  "tweet_id" BIGINT,
  "user_handle" VARCHAR,
  "timestamp" TIMESTAMP,
  "tweet_text" VARCHAR,
  "candidate" VARCHAR,
  "party" VARCHAR,
  "retweets" BIGINT,
  "likes" BIGINT,
  "sentiment" VARCHAR
);

Val

@kaggle.emirhanai_2024_u_s_election_sentiment_on_x.val

10.94 kB
50 rows
9 columns

CREATE TABLE val (
  "tweet_id" BIGINT,
  "user_handle" VARCHAR,
  "timestamp" TIMESTAMP,
  "tweet_text" VARCHAR,
  "candidate" VARCHAR,
  "party" VARCHAR,
  "retweets" BIGINT,
  "likes" BIGINT,
  "sentiment" VARCHAR
);