Making Text Mining Accessible to Any Developer & Non-Expert
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Making Text Mining Accessible to Any Developer & Non-Expert
1–10 of 33 posts
Re: Making Text Mining Accessible to Any Developer & Non-Expert
#2Great! I was just investigating AlchemyAPI and OpenCalais this weekend. I look forward to trying TextMinr.
TextMinr seems like a combination of those services along with the idea of 80legs.com? Is that correct?
Re: Making Text Mining Accessible to Any Developer & Non-Expert
#3This would really be useful on many, many levels. Why has this access to such data been so roped-off?
Re: Making Text Mining Accessible to Any Developer & Non-Expert
#4Machine learning seems to be a meme on the rise right now. What kind of startups are possible in that domain?
Re: Making Text Mining Accessible to Any Developer & Non-Expert
#5This probably won't work, as google found out with it's prediction api (it hasn't been used much). There's already enough open source software out there that's state of the art and easy to use.
There's good business to be had in selling data though which is where these folks should probably divert their effort.
Re: Making Text Mining Accessible to Any Developer & Non-Expert
#6Great! I was just investigating AlchemyAPI and OpenCalais this weekend. I look forward to trying TextMinr. TextMinr seems like a combination of those services along with the idea of 80legs.com? Is that correct?
I'm not familiar with 80legs, but the main idea is to "democratise" access to this technology and make it easily accessible to anyone who wants to build something on it.
The initial few beta releases will probably be aimed at people aiming to build applications themselves by providing them with API's, but hopefully we'll build out the analytics side of things soon enough so it becomes accessible to non-techies as well.
Re: Making Text Mining Accessible to Any Developer & Non-Expert
#7Machine learning seems to be a meme on the rise right now. What kind of startups are possible in that domain?
self driving cars
autonomous helicopters
automated analysis of satellite imagery
search engines
visual search engine (google goggles)
virtual assistant (siri)
speech recognition
document classification (spam detectors)
question answering systems (ibm watson)
ad placement (google adsense)
computer guided surgery
high throughput imaging (chemo/bioinformatics)
product recommendation (amazon/netflix)
acturial science
industrial automation (inspection systems)
intelligent video surveillance
Re: Making Text Mining Accessible to Any Developer & Non-Expert
#8Machine learning seems to be a meme on the rise right now. What kind of startups are possible in that domain?
self driving cars autonomous helicopters automated analysis of satellite imagery search engines visual search engine (google goggles) virtual assistant (siri) speech recognition document classification (spam detectors) question answering systems (ibm watson) ad placement (google adsense) computer guided surgery high throughput imaging (chemo/bioinformatics) product recommendation (amazon/netflix) acturial science ind…
Nice!
I think I should look into this. I sense that I lack a general understanding of what is really possible with ML. (My current understanding is weighted toward underestimating what is possible with ML).
Re: Making Text Mining Accessible to Any Developer & Non-Expert
#9This probably won't work, as google found out with it's prediction api (it hasn't been used much). There's already enough open source software out there that's state of the art and easy to use. There's good business to be had in selling data though which is where these folks should probably divert their effort.
I don't know; ML has a lot of applications and the bar for most people to be able to implement it is rather high. Lowering the bar so "mere mortals" can have some serious infrastructure and data that's a mere API call away seems pretty huge.
Re: Making Text Mining Accessible to Any Developer & Non-Expert
#10Machine learning seems to be a meme on the rise right now. What kind of startups are possible in that domain?
Machine learning is concerned with developing algorithms that enable programs to use data to evolve new behavior. Calling it a meme seems to put it in the same category as advice animals and Old Spice ads. Still, I see what you're saying--- it is really "in" right now, which is probably because:
(1) There's a lot more data now for people to use it with (2) Infrastructure for doing it is cheap and scalable (3) Automation is a key driver of progress, and ML algos are now getting good enough to automate a lot of stuff that humans used to have to do.