sentiment-analysis-web

Live Demo here: https://alextobias.me/sentiment-analysis-web/predict-sentiment.html

This is a basic demo of using fasttext's webassembly module to peform sentiment analysis. All work is done in the browser with webassembly, no requests to any external sentiment analysis API are made.

Model notes

• The model is trained on the Sentiment140 tweet sentiment dataset.
• By using automatic hyperparameter optimization, I was able to shrink the 1.6 million tweet model from 250MB to just 2MB, which is why it's actually possible to load it here.
• It's still by no means perfect; and I'm looking into ways to both optimize for size and improve accuracy.

Issues I had to troubleshoot with fasttext webassembly (may help if you're trying to do something similar)

• If you're trying to do this yourself, I found these notes helpful to set up and build the webassembly binaries. (I'm on ubuntu 18.04)

Issue 1 - fasttext wasm compilation error after installing emscripten

When trying to compile fasttext wasm, I ran into issues with my version of emscripten; fixed by installing emscripten version 2.0.3 instead.

See facebookresearch/fastText#1166

Issue 2 - fasttext 'addOnPostRun' error after compilation

After I was able to build the fasttext wasm files (fasttext_wasm.wasm, fasttext_wasm.js, fasttext.js), I got this error after trying to the http server demo:

TypeError: fastTextModule.addOnPostRun is not a function

I was able to fix this by integrating these changes:

facebookresearch/fastText#1173 (initial discovery link)

facebookresearch/fastText#1116 (see 'changed files' for what needed to change)