Omc
supercent-io
Omc analyzes text to extract key information like entities, relationships, and sentiment – useful for rapid data understanding & insights.
41,264 listings from across the agent ecosystem. None of them have been code-reviewed — check the source before you install.
Looking for what's new? See the repos gaining stars fastest.
18 skills matching “sentiment”
supercent-io
Omc analyzes text to extract key information like entities, relationships, and sentiment – useful for rapid data understanding & insights.
supercent-io
Jeo analyzes text to identify potential emotional tones and sentiments, offering insights into user feelings for improved understanding.
gracefullight
Analyze stock performance, trends, and news sentiment to identify potential investment opportunities quickly.
resciencelab
This skill scrapes Reddit for trending topics and insights, providing valuable real-time data and sentiment analysis.
resciencelab
This skill analyzes tweets to extract insights about trending topics, sentiment, and mentions – valuable for social listening and brand monitoring.
aidotnet
Analyzes Bilibili content (videos, comments) to extract insights like trending topics and sentiment, boosting research & understanding.
violin86318
Analyzes trending Weibo topics to identify popular discussions and sentiment, providing valuable insights for market research & social listening.
eddiebe147
Analyzes user feedback to identify key themes and sentiment, offering valuable insights for product improvement and customer understanding.
eddiebe147
This Sentiment Analyzer swiftly determines the emotional tone (positive, negative, neutral) of text, boosting understanding and response accuracy.
opusgamelabs
Analyzes game reviews to identify player sentiment, common complaints, and potential areas for improvement.
sitechfromgeorgia
This AI interprets user feedback to identify key themes and sentiment, helping improve products & services by revealing valuable insights.
adaptationio
Analyzes textual feedback to identify key themes & sentiment, streamlining understanding and guiding improvement efforts.
alexpolonsky
Strikeradar analyzes text to identify potential risks or negative sentiment, helping users proactively mitigate issues and improve communication.
Analyzes player feedback to identify key themes & sentiment, boosting product development and improving user experiences.
cleanexpo
Psi Classification analyzes text to identify and categorize nuanced sentiment & opinions, boosting understanding and targeted responses.
prof-ramos
Analyzes conversations for sentiment, topics, and key phrases to understand communication dynamics & improve interactions.
magicseek
Nblm analyzes text to determine if a user is expressing an "I need help" sentiment, offering immediate support and guidance.
kukapay
Aggregate news from popular cryptocurrency RSS feeds, analyze sentiment of articles, and calculate an overall market sentiment score with detailed explanation. Use when assessing crypto market sentime
Can't find what you need?