State-of-the-art deep learning and natural

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Features: Sentiment analysis for over 40 officially supported languages, capable of classifying sentiment in any language Sentiment accuracy is typically in the 60-75% range for supported languages, but may vary depending on the data source Ability to manually override sentiment score by selecting positive, negative, or neutral Filter feeds and conversation comments by sentiment, select the desired sentiment in the advanced filter Analyze the overall sentiment and sentiment distribution of searches, as well as the popularity of different emotions such as anger, disgust, fear, happiness, sadness, and surprise.



State-of-the-art deep learning and natural language canada telegram phone number list (NLP) techniques, including transfer learning, for more sophisticated sentiment analysis that can handle complex languages, slang, and dialects 2.SproutSocial Imagine being able to understand the sentiment behind every social media post, comment, and direct message (DM). Well, that’s exactly what SproutSocial’s AI-powered sentiment analysis tool provides.