Brand Sentiment Analysis Dataset (Twitter) by Kaggle | Ecommerce and Consumer Trends

About this Dataset

Brand Sentiment Analysis Dataset (Twitter)

Dataset description
Users assessed tweets related to various brands and products, providing evaluations on whether the sentiment conveyed was positive, negative, or neutral. Additionally, if the tweet conveyed any sentiment, contributors identified the specific brand or product targeted by that emotion.

Train Dataset : 8589 rows x 3 columns

Test Dataset : 504 rows x 1 columns

Tables

Dataset Train

@kaggle.tusharpaul2001_brand_sentiment_analysis_dataset.dataset_train

535.85 KB
8589 rows
3 columns


CREATE TABLE dataset_train (
  "tweet_text" VARCHAR,
  "emotion_in_tweet_is_directed_at" VARCHAR,
  "is_there_an_emotion_directed_at_a_brand_or_product" VARCHAR
);

Dataset Card

@kaggle.tusharpaul2001_brand_sentiment_analysis_dataset.dataset_card

3.18 KB
1 row
2 columns


CREATE TABLE dataset_card (
  "dataset_description" VARCHAR,
  "users_assessed_tweets_related_to_various_brands_and_pr_bf1f057e" VARCHAR
);