saadarshad102/Sentiment-Analysis-CNN
Sentiment Analysis using Convolution Neural Networks(CNN) and Google News Word2Vec
This tool helps you automatically understand the emotional tone of written text, classifying it as positive, negative, or neutral. You feed it raw text data, like customer reviews or social media comments, and it outputs the sentiment score for each piece of text. Marketers, customer support analysts, and social media managers can use this to quickly gauge public opinion or customer satisfaction.
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Use this if you need to quickly process large volumes of text to understand general sentiment without manually reading each entry.
Not ideal if you need highly nuanced sentiment detection that goes beyond positive, negative, or neutral, or if your text data contains very specific domain jargon that isn't covered by a general language model.
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Jupyter Notebook
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Last pushed
Mar 25, 2023
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