uosdmlab/nsmc-zeppelin-notebook
Movie review dataset Word2Vec & sentiment classification Zeppelin notebook
This Zeppelin notebook helps you analyze movie reviews to understand if the sentiment is positive or negative. You input a collection of Korean movie reviews, and it outputs a classification indicating the sentiment (positive or negative) for each review. This is ideal for researchers or data analysts working with text data who need to gauge public opinion or sentiment from large datasets.
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Use this if you need to perform sentiment analysis on Korean text data, specifically movie reviews, and prefer a notebook environment for experimentation and visualization.
Not ideal if you are looking for a plug-and-play API or a tool that doesn't require setting up a Spark and Zeppelin environment.
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Jun 26, 2017
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