Machine Learning and NLP Enthusiast
What would you like to find out in documents? M-Analyzer provides several services in the field of text analysis, such as text similarity for plagiarism detection, keywords and entities extraction, and aspect-based sentiment analysis
M-Analyzer provides several services in the field of text analysis, such as text similarity for plagiarism detection, keywords and entities extraction, and aspect-based sentiment analysis
In the main page (left navigation bar), you can see the services provided by M-Analyzer. You can choose any services you'd like to use just by clicking on it. Afterwards, the corresponding form will be shown at the wider area on the right.
View the screencast:
I built this app using these awesome technologies:
Because I used Node.js, here are the packages (node modules):
Nice idea :)
Nice application that you have tried.!! Keep doing your deep analysis on this. All the best. My suggestion is create design and features more in the site :)
Your feedback to my entry is also highly appreciated!
Good and useful app!
It would be great if you rate us too
Hi nice work,
Dont quite understand what algorithms you use but seems to make sense...
Your feedback on my entry (http://www.angularattack.com/entries/412-divine-developers) would be really appreciated :)
One suggestion tho... You could make url field types `url` and make required fields have required attribute... Hope that helps :)
Nice one, like your idea its different!
Great app! Needs some UI improvements, but the idea is great!
Your feedback to my entry would be appreciated as well.
Nice app! Watson is amazing =D
Liked the concept of text analysis
Good idea for an app! Great job implementing both the front and back end in such a limited amount of time.
I would have liked to have seen more time spent on the overall UX/UI design of the app. For instance, sometimes the display of the results caused the table to wrap far to the right of the page. Also, instead of just displaying the results from the API in what looks like in a verbatim fashion, how about curating the results in more of a visual fashion using chart elements?
Your feedback to our entry would be appreciated as well. GLHF!
Hey, that's a really good idea. I have not seen any other app like yours.