Nealcly/sarcasm-detection-for-sentiment-analysis
Sarcasm Detection for Sentiment Analysis
This helps you improve the accuracy of sentiment analysis by identifying sarcasm in text. You input raw text containing opinions or feedback, and it helps ensure that sarcastic remarks are correctly interpreted as negative, rather than mistakenly positive or neutral. This is useful for anyone analyzing customer reviews, social media comments, or survey responses.
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Use this if you need to extract accurate sentiment from text data where sarcasm might be a prevalent factor, such as online reviews or social media.
Not ideal if your text data is primarily formal, factual, or unlikely to contain sarcastic expressions, as the added complexity may not provide significant benefit.
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22
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Language
Python
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Last pushed
Mar 26, 2019
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