saadarshad102/Sentiment-Analysis-RNN-LSTM
Sentiment Analysis using Recurrent Neural Networks (RNN-LSTM) and Google News Word2Vec
This tool helps you automatically understand the emotional tone of written text, classifying it as positive, negative, or neutral. You input a collection of text data, such as social media posts, customer reviews, or survey responses, and it outputs a sentiment label for each piece of text. This is useful for market researchers, customer service managers, or anyone needing to quickly gauge public opinion or customer satisfaction from large volumes of text.
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Use this if you need to quickly and programmatically categorize text data by its emotional sentiment.
Not ideal if you need highly nuanced sentiment analysis beyond positive, negative, or neutral, or if your text contains very domain-specific jargon that might not be captured by a general language model.
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Last pushed
Sep 20, 2019
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