Perform sentiment analysis with LSTMs, using TensorFlow
By Adit Deshpande 170713
This article focused on sentiment analysis with deep learning approach-TensorFlow and LSTM networks.
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Sentiment analysis with LSTMs
Sentiment analysis can be thought of as the exercise of taking a sentence, paragraph, document, or any piece of natural language and determining whether that text’s emotional tone is positive, negative or neutral.
Deep learning fits into natural language processing (NLP)
Natural language processing (NLP) is creating systems that process or uderstnand language to perform tasks including question answering (like Siri, Alexa and Cortana), sentiment analysis (determining the emotional tone behind a piece of text), image to text mapping (generating a caption for an input image), machine translation (translating a paragraph of text to another language) and speech recognition (having computers recognize spoken words).
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== 180212 ==
Word vectors
Word2Vec
Recurrent natural network
LSTMs
Framing sentiment analysis
Loading data
Helper functions
Training
Conclusion
Reference
https://www.oreilly.com/learning/perform-sentiment-analysis-with-lstms-using-tensorflow