AmirhosseinDotZip/sentinalysis
This is a collection of Jupyter notebooks that use popular sentiment analysis Python libraries to analyze text.
This project helps you analyze text to understand the emotions or opinions expressed within it, such as whether a review is positive or negative. You provide text data—like customer feedback, social media comments, or product reviews—and it shows you the sentiment (positive, negative, neutral) detected by various analysis tools. This is ideal for marketers, customer service managers, or anyone needing to quickly gauge public opinion or user feedback.
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Use this if you need to understand the emotional tone or sentiment of written content and want to compare different sentiment analysis methods.
Not ideal if you are looking for a fully automated, production-ready sentiment analysis pipeline rather than a comparative exploration of different tools.
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Jun 03, 2023
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