We’ve already demonstrated how to train a character-level RNN to create original text. Now, we create a word-level RNN to analyze sentiment.
Sentiment analysis is the interpretation and classification of polarity, emotions, and intentions within text data using NLP text analysis tools. Polarity can be positive, negative, or neutral. Emotions can vary across a wide range of feelings such as anger, happiness, frustration, and sadness, to name a few. Intentions can also vary across a wide range of motives such as interested or not interested. A common application of sentiment analysis is ...
