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node-red-nodes/analysis/mlsentiment
2021-03-16 09:57:46 +00:00
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locales few remaining x-red to html tidy ups, both sentiment and redis nodes. 2021-03-16 09:57:46 +00:00
LICENSE add multilang sentiment node as separate node 2019-03-15 10:01:27 +00:00
mlsentiment.html few remaining x-red to html tidy ups, both sentiment and redis nodes. 2021-03-16 09:57:46 +00:00
mlsentiment.js add multilang sentiment node as separate node 2019-03-15 10:01:27 +00:00
package.json add multilang sentiment node as separate node 2019-03-15 10:01:27 +00:00
README.md add multilang sentiment node as separate node 2019-03-15 10:01:27 +00:00

node-red-node-multilang-sentiment

A Node-RED node that scores incoming words using the AFINN-165 wordlist and attaches a sentiment.score property to the msg.

This is similar to the default sentiment node but supports many more languages at the cost of using more disk space. (approx 11MB)

Install

Either use the Menu - Manage palette - Install option in the editor or run the following command in your Node-RED user directory - typically ~/.node-red

npm install node-red-node-multilang-sentiment

Usage

Uses the AFINN-165 wordlist to attempt to assign scores to words in text.

Attaches msg.sentiment to the msg and within that msg.sentiment.score holds the score.

Supports multiple languages. These can be preselected in the node configuration. You can also set it so that msg.lang can be used to set the language dynamically if required. The cldr language codes supported are:

af, am, ar, az, be, bg, bn, bs, ca, ceb, co, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi,
fr, fy, ga, gd, gl, gu, ha, haw, hi, hmn, hr, ht, hu, hy, id, ig, is, it, iw, ja, jw, ka, kk, km, kn, ko, ku, ky, la, lb, lo, lt,
lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, no, ny, pa, pl, ps, pt, ro, ru, sd, si, sk, sl, sm, sn, so, sq, sr, st, su, sv,
sw, ta, te, tg, th, tl, tr, uk, ur, uz, vi, xh, yi, yo, zh, zh-tw, zu

A score greater than zero is positive and less than zero is negative. The score typically ranges from -5 to +5, but can go higher and lower.

See the Multilang Sentiment docs here.