Sentiment Analysis Of Tweets
A comprehensive Natural Language Processing Dataset for Sentimental Analysis
@kaggle.yessicatuteja_sentiment_analysis_of_tweets
A comprehensive Natural Language Processing Dataset for Sentimental Analysis
@kaggle.yessicatuteja_sentiment_analysis_of_tweets
This dataset presents a unique twist on the widely studied sentiment analysis task. It includes annotations indicating the emotional tones, encompassing various sentiments such as happiness, sadness, and anger, found in textual content. The dataset comprises hundreds to thousands of instances, distributed among 13 distinct emotion labels.
A subset of this data was utilized in an experiment shared on Microsoft's Cortana Intelligence Gallery, showcasing its relevance and applicability. The dataset was contributed by CrowdFlower, with 40,000 data rows available for download as of July 15, 2016.
For further exploration and access to the dataset, you can visit the source link: https://www.crowdflower.com/data-for-everyone/.
CREATE TABLE sentiment_analysis (
"tweet_id" BIGINT,
"sentiment" VARCHAR,
"author" VARCHAR,
"content" VARCHAR
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