See how Standupcode's Sentiment Analysis outperforms other options
Amplify Insights with Sentiment Analysis
Leverage Standupcode's Deep Learning-powered Sentiment Analysis, that is 30% more accurate* than a comparable open source model.
Our advanced solution deciphers and quantifies sentiment from -1 to 1 and detects different sentiments in different parts of the same sentence, allowing you to propel informed decisions, optimize brand reputation, and enhance customer experience with actionable insights.
Unleash Advanced Emotion Analysis
Empower your business with Standupcode's deep learning-powered Emotion Analysis, capable of detecting up to 28 distinct emotions in text. A game-changer for elevating customer satisfaction, gauging public sentiment, and enriching user experiences.
Understand meaning with Entity Recognition
Standupcode's Entity Recognition capabilities go way beyond standard open-source NER tools. In the same text, you can recognize regular entities, numeric entities, as well as meanings.
Identify a cappuccino as a 'hot beverage' or a MacBook as an 'electronic device', while extracting email IDs, phone numbers and scientific measurements from your text. The possibilities are endless.
More modules
Our Suite of Superior NLP Modules
Proposition Detection
Reveal underlying propositions, bringing depth to your text analysis.Sentence Type Detection
Classify sentence types for a more nuanced understanding of content.Syntax Analysis
Unpack the grammatical structure of your text with detection of lemmas, POS tags, and dependency tags.Coreference Extraction
Decode textual relationships by identifying parts of the text that refer to one another.Language Detection
Identify the primary language of any text, bolstering your global communication efforts.Customer Feedback
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