Sentiment Analysis using Deep Learning with Tensorflow

Sentiment Analysis using Deep Learning with Tensorflow

Sentiment Analysis using Deep Learning with Tensorflow - Sentiment analysis is the contextual study that aims to determine the opinions, feelings, outlooks, moods and emotions of people towards entities and their aspects. The primitive functions of sentiment analysis are emotion recognition that focuses on extracting a cluster of emotion labels and polarity detection which aims to classify the writer’s attitude as positive, negative and neutral.

Sentiment analysis is the contextual study that aims to determine the opinions, feelings, outlooks, moods and emotions of people towards entities and their aspects. The primitive functions of sentiment analysis are emotion recognition that focuses on extracting a cluster of emotion labels and polarity detection which aims to classify the writer’s attitude as positive, negative and neutral.

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While completing a highly informative AICamp online class taught by Tyler Elliot Bettilyon (TEB) called Deep Learning for Developers, I …