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[1.1.4] Load a different lexicon #7

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[1.1.4] Load a different lexicon #7

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8b57622
add loadLexicon() for switching lexicons
trakout Mar 19, 2020
ba438fe
build 1.1.4
trakout Mar 19, 2020
19ec88d
use named exports in addition to default
trakout Mar 19, 2020
484a3df
refactor loadLexicon() to static method (avoid changing the export)
trakout Mar 19, 2020
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11 changes: 11 additions & 0 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,17 @@ console.log(intensity);
// {neg: 0.0, neu: 0.299, pos: 0.701, compound: 0.8545}
```

Using a different lexicon:
```
const customLexicon = {
'$:': -1.4,
'hand': 2.1,
...
};

vader.SentimentIntensityAnalyzer.loadLexicon(customLexicon);
```

#### About the Scoring

* The ``compound`` score is computed by summing the valence scores of each word in the lexicon, adjusted according to the rules, and then normalized to be between -1 (most extreme negative) and +1 (most extreme positive). This is the most useful metric if you want a single unidimensional measure of sentiment for a given sentence. Calling it a 'normalized, weighted composite score' is accurate.
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2 changes: 1 addition & 1 deletion build/vaderSentiment.bundle.js
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2 changes: 1 addition & 1 deletion package.json
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
{
"name": "vader-sentiment",
"version": "1.1.3",
"version": "1.1.4",
"description": "javascript port of vader sentiment tool",
"main": "build/vaderSentiment.bundle.js",
"scripts": {
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19 changes: 12 additions & 7 deletions src/vaderSentiment.js
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@

// Constants

const LEXICON = require('./vader_lexicon.js').lexicon;
const DEFAULT_LEXICON = require('./vader_lexicon.js').lexicon;

// (empirically derived mean sentiment intensity rating increase for booster words)
export const B_INCR = 0.293;
Expand Down Expand Up @@ -201,7 +201,8 @@ export const SPECIAL_CASE_IDIOMS = {
'hand to mouth': -2
};

// static methods
// set lexicon
let lexicon = DEFAULT_LEXICON;

export const negated = (input_words, include_nt = true) => {
/**
Expand Down Expand Up @@ -363,6 +364,10 @@ export class SentimentIntensityAnalyzer {
Give a sentiment intensity score to sentences
*/

static loadLexicon(lexiconVal) {
lexicon = lexiconVal;
}

static polarity_scores(text) {
/**
Return a float for sentiment strength based on the input text.
Expand Down Expand Up @@ -404,9 +409,9 @@ export class SentimentIntensityAnalyzer {
const is_cap_diff = sentiText.is_cap_diff;
const words_and_emoticons = sentiText.words_and_emoticons;
const item_lowercase = item.toLowerCase();
if (LEXICON.hasOwnProperty(item_lowercase)) {
if (lexicon.hasOwnProperty(item_lowercase)) {
// get the sentiment valence
valence = LEXICON[item_lowercase];
valence = lexicon[item_lowercase];
// check if sentiment laden word is in ALL CAPS (while others aren't)
if (is_upper_python(item) && is_cap_diff) {
if (valence > 0) {
Expand All @@ -419,7 +424,7 @@ export class SentimentIntensityAnalyzer {
for (let start_i = 0; start_i < 3; start_i++) {
if (
index > start_i &&
LEXICON.hasOwnProperty(words_and_emoticons[index - (start_i + 1)].toLowerCase()) === false
lexicon.hasOwnProperty(words_and_emoticons[index - (start_i + 1)].toLowerCase()) === false
) {
// dampen the scalar modifier of preceding words and emoticons
// (excluding the ones that immediately preceed the item) based
Expand Down Expand Up @@ -453,7 +458,7 @@ export class SentimentIntensityAnalyzer {
if (
index > 1 &&
words_and_emoticons[index - 1].toLowerCase() === 'least' &&
LEXICON.hasOwnProperty(words_and_emoticons[index - 1].toLowerCase()) === false
lexicon.hasOwnProperty(words_and_emoticons[index - 1].toLowerCase()) === false
) {
if (
words_and_emoticons[index - 2].toLowerCase() !== 'at' &&
Expand All @@ -464,7 +469,7 @@ export class SentimentIntensityAnalyzer {
} else if (
index > 0 &&
words_and_emoticons[index - 1].toLowerCase() === 'least' &&
LEXICON.hasOwnProperty(words_and_emoticons[index - 1].toLowerCase()) === false
lexicon.hasOwnProperty(words_and_emoticons[index - 1].toLowerCase()) === false
) {
valence = valence * N_SCALAR;
}
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