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Subsets and Splits
Negative Immigration Tweets
Reveals negative sentiments specifically related to immigration, offering insights into public opinion on immigration policies or issues.
Positive Immigration Tweets
Identifies positive reviews containing keywords related to immigration, offering insight into public sentiment on the topic.
Filtered Immigration Sentiment Tweets
Identifies and displays sentences related to immigration or migration, categorized by sentiment, revealing how different sentiments frame these topics.
Immigrant Sentiment Analysis
Extracts and categorizes 100 texts related to 'immigrant' or 'immigration' from the dataset, helping to understand sentiment trends around these keywords.
Tweets on Sarah Palin & American
Retrieves tweets mentioning both "Sarah Palin" and "American," providing a basic filtered view of relevant tweets.
SQL Console for cardiffnlp/tweet_eval
Retrieves samples from the dataset that mention 'Sarah Palin' and 'speak', categorized by sentiment, providing a basic filtering of relevant text samples.
SQL Console for cardiffnlp/tweet_eval
Finds all entries in the sentiment dataset that mention Sarah Palin, providing a basic filter of the data focused on a specific name.
Immigrant Sentiment Analysis
Retrieves text and their sentiment categories related to the topic of immigrants or immigration, providing a basic overview of the sentiment distribution on this theme.
SQL Console for cardiffnlp/tweet_eval
The query retrieves all entries containing the word 'election' in the text, providing a basic filtering that limits the dataset to specific content but offers limited analytical depth.
Taylor Swift Sentiment Analysis
Retrieves raw text entries mentioning "Taylor Swift" and labels their sentiment, providing basic filtering and limited insight into opinions about Taylor Swift.
Taylor Swift Sentiment Analysis
Retrieves all reviews mentioning Taylor Swift, categorized by sentiment, which provides basic filtering but limited analytical value.
Trump Sentiment Analysis
Retrieves positive and negative tweets mentioning Trump, which is a basic filtering and categorization of data based on content and sentiment.