Baselight

Brand Sentiment Analysis Dataset (Twitter)

Analyzing Sentiments and Brand Associations in User-Generated Tweets

@kaggle.tusharpaul2001_brand_sentiment_analysis_dataset

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

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