I am assuming you built this with Python, right? Any chance you can share the approach? Would love to try building something for the web with the use of Tensorflow.
Hey thanks for giving it a try! And yes, built it with python - specifically I'm using a modified version of gensim's TF-IDF model implementation. If you haven't heard of TF-IDF before give http://www.tfidf.com/ a read through.
It might be overkill to use tensorflow for TF-IDF, but go for it!
With lxi.ai, I use the top 10 most important keywords for the actual comparison along with some other tricks to make sure the model can scale. Might be worth a blog post or something.
Found a small bug. I've added a few bookmarks and when I press the Random Bookmark link I get an Internal Server Error at this url (https://lxi.ai/bookmarks/achieve):
```
The server encountered an internal error and was unable to complete your request. Either the server is overloaded or there is an error in the application.
```
- How did build the graph view, looks very good?
- Did you use Python to build the Chrome addon, too? If so, do you mind sharing a resource where I can see how to do that, cause when I was looking, did not find anything.
The graph is built with D3.js and some minor JS/CSS changes to create the hover effects.
The extensions are built with simple html/js/css - they're basically mini webpages with special permissions. For example, I use an activeTab api provided by the browser to read the page text when the user clicks a button.
It might be overkill to use tensorflow for TF-IDF, but go for it!
With lxi.ai, I use the top 10 most important keywords for the actual comparison along with some other tricks to make sure the model can scale. Might be worth a blog post or something.