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mixedemotions/01_sentiment_analysis_nuig

By mixedemotions

•Updated over 9 years ago

Predicts the sentiment of a given sentence or tweet

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mixedemotions/01_sentiment_analysis_nuig repository overview

This module takes in a sentence or a tweet and predicts its sentiment, which can be 'positive', 'negative', or 'neutral'. The source code can be found here: https://github.com/MixedEmotions/NUIG-sentiment⁠

At the core of the module, there is a text classifier, which is trained in manually labeled datasets. The classifier uses a neural network based algorithm for training (convolutional neural networks). Expected parameters: a sentence, or a tweet.

Example run command: docker run -ti -p 8001:5000 01_sentiment_analysis_nuig

Example input: http://127.0.0.1:5000/text=I hate politics.

The output will be a string, positive or negative or neutral

Tag summary

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Digest

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924.6 MB

Last updated

over 9 years ago

docker pull mixedemotions/01_sentiment_analysis_nuig