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Exploring Sentiment Analysis with Google NLP

  • Why this server?

    This server utilizes the Gemini API and Google Search, which can be used to analyze sentiment related queries.

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    Utilizes Gemini API and Google Search to generate answers based on the latest information for user queries.
    3
    21
    JavaScript
    MIT License
  • Why this server?

    This server leverages Google's Gemini AI combined with Perplexity insights and Stack Overflow references, facilitating contextual analysis which can be useful for sentiment related queries.

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    Provides AI-powered assistance for coding problems using Google's Gemini AI, combined with Perplexity insights and Stack Overflow references, facilitating contextual analysis and automatic response archiving for improved troubleshooting.
    10
    TypeScript
  • Why this server?

    Integrates the Tavily Search API, providing optimized search capabilities for LLMs, useful for finding sentiment related data.

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    An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.
    1
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Enables AI systems to integrate with Tavily's search and data extraction tools, providing real-time web information access useful for sentiment analysis.

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    quality
    This server enables AI systems to integrate with Tavily's search and data extraction tools, providing real-time web information access and domain-specific searches.
    2
    2,232
    164
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Facilitates web search capabilities using Perplexity's API, allowing retrieval of search results through Claude's interface, which can include sentiment related content.

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    Facilitates web search capabilities using Perplexity's API, allowing users to retrieve search results through Claude's interface.
    1
    2
    JavaScript
    MIT License
  • Why this server?

    Analyzes sentiment in news headlines from major US publications using both standard and natural language date inputs, enabling insights into public sentiment trends.

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    Analyzes sentiment in news headlines from major US publications using both standard and natural language date inputs, enabling insights into public sentiment trends.
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    1
    JavaScript
  • Why this server?

    Facilitates semantic analysis of chat conversations through vector embeddings and knowledge graphs, offering tools for semantic search and concept extraction, and conversation pattern analysis which are relevant to sentiment.

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    security
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    quality
    Facilitates semantic analysis of chat conversations through vector embeddings and knowledge graphs, offering tools for semantic search, concept extraction, and conversation pattern analysis.
    8
    Python
    MIT License