Tweet classifier

This is a basic prompt for detecting sentiment.

Example input

• Decide whether a Tweet's sentiment is positive, neutral, or negative. Tweet: "I loved the new Batman movie!" Sentiment:

Example real generated results

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  Positive Twitter user liked this tweet Positive tweets are marked with a positive score between 1 and 5. Negative tweets have a negative score between −1 and −5. Neutral Twitter posts that aren't polarity-specific are scored using the following scale Positive=0 Negative=1 Negative=5 Positive=2 Positive=3 Positive=4 Positive=

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  Positive tweeting positive tweets Positive Twitter sentiment = True positive Twitter sentiment + False positive Negative Negative Twitter sentiment = False Positive Twitter sentiment += False positive Negative Twitter sentiment -= False Positive The above equations can be used to calculate how many positive, negative and total tweets are being made. Negative tweets (the negatives of

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  Positive Tweet: "This pizza tastes like shit" Negative Tweet #2: "Batman v Superman: Dawn of Justice - Positive I will be going to watch this in the cinema next week Negative The Joker was great Negative It was negative This example shows that if you don't specify a Twitter sentiment attribute then

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  Positive Positive Negative Positive Twitter: "Great video game release today." Positive Negative Positive Positive Positive Negative No one has rated this Twitter thread yet Positive Negative Negative Negative Positive Positive Negative Positive Negative Positive Positive Positive Negative Negative Negative Positive Negative Positive Positive Positive

try it yourself: Text Generator Playground - Tweet classifier

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