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Last pushed: a year ago
Short Description
Predicts the sentiment of a given sentence or tweet
Full Description

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:

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: hate politics.

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

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