hchiam / comment-analysis

comment analysis experiment

comment analysis experiment

Enter comments -> Fix typos -> Get sentiments, semantic similarity graph, and comment groups/classes.

Live demo: https://comment-analysis.surge.sh (yarn deploy after running yarn dev)

Local demo: yarn dev (if you run into Error: Expected content key ### to exist, try running rm -rf .parcel-cache first)

references and things this projects builds on

learning-tfjs-umap

tfjs

USE (Universal Sentence Encoder) (see my text-similarity-test)

KNN

umap-js (UMAP vs t-SNE vs SNE)

nlp.js (note: SpellCheck currently seems incompatible with one of parcel's transformers)

natural

dictionaries

nspell

jQuery

chart.js

(otherwise just look at package.json)

typo fix suggestions under input box to fix input box

• https://github.com/axa-group/nlp.js/blob/master/docs/v4/similarity.md#spellcheck (seems to have compatibility issue with parcel)
• https://github.com/axa-group/nlp.js/blob/master/docs/v4/similarity.md#spellcheck-trained-with-words-trained-from-a-text
• https://naturalnode.github.io/natural/spellcheck.html (doesn't come with a dictionary)
• https://github.com/wooorm/dictionaries#example-use-with-nspell (provides a dictionary like dictionary-en or dictionary-en-ca or more languages, but you'll likely have to manually copy and include some specific code)

sentiments above chart

• https://github.com/axa-group/nlp.js/blob/master/docs/v3/sentiment-analysis.md
• https://naturalnode.github.io/natural/sentiment_analysis.html

knn under chart

• KNN for automatic grouping, maybe with tweakable k input box: https://github.com/tensorflow/tfjs-models/blob/master/knn-classifier/README.md