Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'compromise' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.
export function parseTextForTopics(text) {
// return(nlp(text).topics().out('topk'));
return(nlp(text).topics().slice(0, 30).out('frequency'));
}
validContributionTypes.forEach(type => {
Contributions[type] = 'Contribution'
})
Object.keys(contributionTypeMappings).forEach(type => {
Contributions[`${type}`] = 'Contribution'
})
const plugin = {
words: {
...Contributions,
add: 'Action',
},
}
nlp.plugin(plugin)
function parseAddComment(message, action) {
const whoMatched = nlp(message)
.match(`${action} [.]`)
.normalize({
whitespace: true, // remove hyphens, newlines, and force one space between words
case: false, // keep only first-word, and 'entity' titlecasing
numbers: false, // turn 'seven' to '7'
punctuation: true, // remove commas, semicolons - but keep sentence-ending punctuation
unicode: false, // visually romanize/anglicize 'Björk' into 'Bjork'.
contractions: false, // turn "isn't" to "is not"
acronyms: false, //remove periods from acronyms, like 'F.B.I.'
parentheses: false, //remove words inside brackets (like these)
possessives: false, // turn "Google's tax return" to "Google tax return"
plurals: false, // turn "batmobiles" into "batmobile"
verbs: false, // turn all verbs into Infinitive form - "I walked" → "I walk"
export function normalizeText(text) {
return (nlp(text).normalize());
}
shared_text: {
position: 'absolute',
top: 0,
left: 0,
width: '100%',
fontFamily: 'Helvetica',
fontSize: 20,
padding: '10px 15px 0px 15px',
margin: 0,
color: 'grey'
}
}
this.state = {
text: props.text,
trailing: '',
parsed: nlp(props.text)
}
this.overlay = this.overlay.bind(this)
this.onChange = this.onChange.bind(this)
this.hiddenText = this.hiddenText.bind(this)
}
export function parseTextForDates(text) {
return(nlp('text').dates().slice(0, 50).out('frequency'));
}
export function parseTextForPlaces(text) {
return(nlp(text).places().slice(0, 50).out('frequency'));
}
export function parseTextForTrigrams(text) {
return(nlp(text).ngrams().trigrams().slice(0, 30).out('frequency'));
}
onChange() {
let {state} = this
let el = this.refs.textarea
if (el) {
state.text = el.value
state.parsed = nlp(state.text)
}
state.trailing = state.text.match(/\s+$/) || ''
this.setState(state)
}
export function parseTextForTerms(text) {
return(filterCommonWords(nlp(text).terms().slice(0, 30).out('frequency')));
}
export function parseTextForBigrams(text) {
return(nlp(text).ngrams().bigrams().slice(0, 30).out('frequency'));
}