Sentiment Analysis

Definition of Sentiment Analysis as it relates to Technology, Artificial Intelligence, Deep Learning, Convolutional Neural Networks

Sentiment Analysis is the use of machine learning algorithms and models, including those based on Convolutional Neural Networks (CNNs), to determine the emotional tone behind words. It can be used in various fields such as marketing, politics, and social media monitoring to understand public opinion, predict trends and make informed decisions. This subcategory falls under the broader category of CNNs within the hierarchy of Technology/Artificial Intelligence/Deep Learning/Convolutional Neural Networks, it is focused on analyzing text data, images or video to extract subjective information such as opinions, appraisals, attitudes and emotions. It's a powerful tool for businesses and organizations to understand their customers and stakeholders better, and make data-driven decisions.

Note
  • [SentimentAnalysis.org] Multilingual Sentiment Vectors for Deep Sentiment Analysis
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