4 ms·

Can you articulate why this is different to other text summarising solutions? It may be that yours is easier to integrate than using AWS APIs[1], or performs b

by yaseer 4y ago

Can you articulate why this is different to other text summarising solutions? It may be that yours is easier to integrate than using AWS APIs[1], or performs better than what's available on say, npm[2]. It may be that your algorithm is designed specifically for news articles. If you can articulate where this fits into the market of other solutions - that will help inform how best to utilize it. [1] https://aws.amazon.com/blogs/machine-learning/part-1-set-up-a-text-summarization-project-with-hugging-face-transformers/ https://aws.amazon.com/blogs/machine-learning/part-1-set-up-... [2] https://www.npmjs.com/package/text-summary https://www.npmjs.com/package/text-summary

superdario 4y ago
Why is it different? Hard to tell, I don't know how others work. I was focusing strictly on news articles
- yaseer 4y ago
  If it's hard to tell the difference, it'll be hard to sell the difference. (Cheesy rhyme intentional) But seriously, you could probably do some research to work out your solution's strengths, relative to existing solutions. When you know what it's strengths are, try to find people who want those strengths. Ultimately, you're asking the question 'is there a market for what I've built?' - but you've phrased that question differently.
  - screye 4y ago
    > If it's hard to tell the difference, it'll be hard to sell the difference That's going into my quotes list. Rhymes, is short and gets an important point accross. Bravo.
    - sillysaurusx 4y ago
      I’m not sure how relevant it is. Dropbox entered into a market with around 10 competitors, and trounced them all. In general it’s a mistake to worry about the competition.
      - yaseer 4y ago
        Comparisons to competition are just a way to map out the market, and where you may fit.
- PeterisP 4y ago
  Everyone else is focusing on news articles as well, so that's not a problem; however without comparison to other approaches it's impossible to tell if the solution is 'powerful' or even any good at all. This here - http://nlpprogress.com/english/summarization.html http://nlpprogress.com/english/summarization.html - would be an overview of what algorithms are currently considered 'good' and what results they achieve on some datasets commonly used for evaluation and comparison, it would be interesting to run your solution on that data and see what you get.
  - superdario 4y ago
    Wow awesome, I'll try that
NetBeck 4y ago
Word 2007 had an "AutoSummarize" feature which was later removed.[1] I wonder how well it would hold up today. [1] https://youtu.be/o30nPCgdq0I?t=100 https://youtu.be/o30nPCgdq0I?t=100

by yaseer 4y ago

superdario 4y ago

Why is it different? Hard to tell, I don't know how others work. I was focusing strictly on news articles

yaseer 4y ago
If it's hard to tell the difference, it'll be hard to sell the difference. (Cheesy rhyme intentional) But seriously, you could probably do some research to work out your solution's strengths, relative to existing solutions. When you know what it's strengths are, try to find people who want those strengths. Ultimately, you're asking the question 'is there a market for what I've built?' - but you've phrased that question differently.
- screye 4y ago
  > If it's hard to tell the difference, it'll be hard to sell the difference That's going into my quotes list. Rhymes, is short and gets an important point accross. Bravo.
  - sillysaurusx 4y ago
    I’m not sure how relevant it is. Dropbox entered into a market with around 10 competitors, and trounced them all. In general it’s a mistake to worry about the competition.
    - yaseer 4y ago
      Comparisons to competition are just a way to map out the market, and where you may fit.
PeterisP 4y ago
Everyone else is focusing on news articles as well, so that's not a problem; however without comparison to other approaches it's impossible to tell if the solution is 'powerful' or even any good at all. This here - http://nlpprogress.com/english/summarization.html http://nlpprogress.com/english/summarization.html - would be an overview of what algorithms are currently considered 'good' and what results they achieve on some datasets commonly used for evaluation and comparison, it would be interesting to run your solution on that data and see what you get.
- superdario 4y ago
  Wow awesome, I'll try that

NetBeck 4y ago

Word 2007 had an "AutoSummarize" feature which was later removed.[1] I wonder how well it would hold up today. [1] https://youtu.be/o30nPCgdq0I?t=100 https://youtu.be/o30nPCgdq0I?t=100