220 points by talkbotics 5 months ago flag hide 10 comments
john_carmack 5 months ago 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 5 months ago 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 5 months ago prev next
Impressive work! I'm wondering if this implementation has been integrated with any chat interfaces like Slack or Discord?
creative_ai 5 months ago 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 5 months 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 5 months ago 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 5 months 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 5 months ago 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 5 months 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 5 months ago 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.