# lexical analysis(participle)
This interface, from the plug-in 1.1.8 Start Support
Lexical analysis provides two kinds of granularity word segmentation results, and can turn on part of speech tagging and proper name recognition according to the option.
# to initialize
Plugin version number in the document, only for example reference, the latest version of the plugin,Subject to this
{
"pages": [
"pages/index/index"
],
"plugins": {
"chatbot": {
"version": "1.2.23",
"provider": "wx8c631f7e9f2465e1"
}
},
"requiredBackgroundModes": [
"audio"
],
"sitemapLocation": "sitemap.json"
}
var plugin = requirePlugin("chatbot")
App({
onLaunch: function () {
plugin.init({
appid: "P5Ot9PHJDechCYqDFAW1AiK6OtG3Ja", //Mini Program sample account, for learning and reference only
openid: "", //User's openid required
success: () => {}, //Not required
fail: (error) => {}, //Not required
})
},
})
# Call the lexical analysis interface
const txt =
" Under the support of the two technologies of weixin Wisdom and weixin Wisdom, the weixin AI team launched the "weixin Dialogue Open Platform" and "Tencent Xiaowi" intelligent hardware two core products. The latest "weixin Frog Pro" released by the weixin Pay team set up an experience area on the scene to let everyone feel the ability of AI to recognize faces. "
plugin.api.nlp("tokenization" { q: txt }).then((nothing) => {
console.log(tokenize result : ", nothing)
})
# Participle result
{
"words": [
"In,"
weixin,
"wisdom,"
"Words,"
"and,"
weixin,
"wisdom,"
Listen,
"two,"
"Big,"
"Technology,"
"of,"
"Support,"
"Down,"
",",
weixin,
"ai",
"Team,"
"Launch,"
"The,"
"“",
weixin,
"Dialogue,"
"open,"
"Platform,"
初始值
"and,"
"“",
"Tencent " the People's Republic of China
"Small,"
"Micro,"
"”",
"Smart,"
"Hardware,"
"two,"
"Big,"
"Core,"
"Products,"
"。",
weixin,
"Payment,"
"Team,"
The latest,
"Release,"
"of,"
"“",
weixin,
The frog,
"pro",
"”",
"In,"
"Live,"
"Settings,"
"The,"
"Experience,"
"District,"
",",
"Let,"
"Everybody,"
"Feeling,"
"ai",
"Acknowledge,"
"Face,"
"of,"
"ability,"
"。"
],
"POSs": [
25,
16,
16,
46,
25,
16,
16,
46,
15,
1,
16,
30,
33,
8,
34,
31,
23,
16,
31,
36,
34,
16,
33,
33,
16,
34,
5,
34,
6,
1,
38,
34,
16,
16,
15,
1,
16,
16,
34,
6,
31,
16,
1,
31,
30,
34,
31,
16,
23,
34,
25,
28,
31,
30,
33,
16,
34,
31,
27,
31,
23,
31,
16,
30,
16,
34
],
"words_mix": [
"In,"
weixin,
"wisdom,"
"Words,"
"and,"
weixin,
"wisdom,"
初始值
"two,"
"Big,"
"Technology,"
"of,"
"Support,"
"Down,"
",",
weixin,
"ai",
"Team,"
"Launch,"
"The,"
"“",
weixin,
"Dialogue,"
"open,"
"Platform,"
"”",
"and,"
"“",
"Tencent " the People's Republic of China
"Small,"
"”",
"Smart,"
"Hardware,"
"two,"
"Big,"
"Core,"
"Products,"
"。",
weixin,
"Payment,"
"Team,"
The latest,
"Release,"
"of,"
"“",
weixin,
The frog,
"pro",
"”",
"In,"
"Live,"
"Settings,"
"The,"
"Experience,"
"District,"
",",
"Let,"
"Everybody,"
"Feeling,"
"ai",
"Acknowledge,"
"Face,"
"of,"
"ability,"
"。"
],
"POSs_mix": [
25,
16,
16,
46,
25,
16,
16,
46,
15,
1,
16,
30,
33,
8,
34,
31,
23,
16,
31,
36,
34,
16,
33,
33,
16,
34,
5,
34,
6,
16,
34,
16,
16,
15,
1,
16,
16,
34,
6,
31,
16,
1,
31,
30,
34,
31,
16,
23,
34,
25,
28,
31,
30,
33,
16,
34,
31,
27,
31,
23,
31,
16,
30,
16,
34
],
"entities": ["Tencent " the People's Republic of China "Small," "Latest Releases"],
"entity_types": [100000013, 0, 0]
}
# Return value:
| field | type | describe |
|---|---|---|
| words | Array | Character string array, general granularity word segmentation results |
| POSs | Array | Array of integers, part-of-speech tags, and wordsCorresponding by subscript |
| words_mix | Array | Character string array, mixed granularity segmentation results |
| POSs_mix | Array | Array of integers, part-of-speech tags, and words_mixAccording to subscript, the definition of the same POSs |
| entities | Array | Character string array, phrase extraction result, possibly empty |
| entity_types | Array | Integer arrays, phrase type tags, and entitiesCorresponding by subscript |
# Participle part of speech:
| POSs | part of speech |
|---|---|
| 1 | adjective |
| 2 | Adjunct |
| 3 | Nomograph |
| 4 | Distinguishing words |
| 5 | conjunction |
| 6 | Adverb |
| 7 | interjection |
| 8 | Locative word |
| 9 | Morpheme word |
| 10 | Precursor components |
| 11 | idiom |
| 12 | Abbreviation |
| 13 | Posterior component |
| 14 | Idiom |
| 15 | numeral |
| 16 | noun |
| 17 | Name |
| 18 | surname |
| 19 | name |
| 20 | place name |
| 21 | Institutional groups |
| 22 | Other specialized[m |
| 23 | Non-kanji string |
| 24 | An onomatopoeia |
| 25 | preposition |
| 26 | measure word |
| 27 | pronoun |
| 28 | Locative word |
| 29 | Time words |
| 30 | Auxiliary word |
| 31 | verb |
| 32 | Adjunct verb |
| 33 | Nominal verb |
| 34 | Punctuation |
| 35 | Non-morpheme word |
| 36 | Statement label designator |
| 37 | State words |
| 38 | Morpheme |
| 39 | Distinguishing morpheme |
| 40 | Submorpheme |
| 41 | Numeral morpheme |
| 42 | Name morpheme |
| 43 | Quantitive morpheme |
| 44 | Substitute morpheme |
| 45 | Time morpheme |
| 46 | Dynamic morpheme |
| 47 | Modal morpheme |
| 48 | State lexicon |
| 49 | Beginning word |
| 55 | Closing words |
| 0 | Unknown part of speech |
| 50 | URL |
| 51 | Telephone Number |
| 52 |
# Entity category
| entity_types | Phrase Type Tags |
|---|---|
| 100000010 | Chinese names |
| 100000011 | Foreign name |
| 100000012 | place name |
| 100000013 | Name of institution |
| 100000014 | Film and television, including movies, TV series, cartoon animation, programs |
| 100000015 | Fiction, including books, comics |
| 100000016 | Software |
| 100000017 | Games, including stand-alone games, online games, mobile games, web games |
| 100000018 | Music, including songs, albums |
| 100000019 | menu |
| 100000020 | disease |
| 100000021 | drug |
| 100000022 | automobile |
| 100000023 | Time Festival |
| 初始值 | |
| 100000201 | Entity of unknown category |
| 100000202 | |
| 100000301 | Music: Download Address |
| 100000302 | Music: Instruments |
| 100000303 | Music: Style |
| 100000304 | Music: Songs |
| 100000305 | Music: Lyrics |
| 100000306 | Music: Album |
| 100000307 | Name: Band |
| 100000308 | Name:Sights |
| 100000309 | Name: Mountain |
| 100000310 | Place Name: Lake |
| 100000311 | Film and Television: Movies |
| 100000312 | Film and Television: TV Series |
| 100000313 | Film and Television: Variety Shows |
| 100000314 | digital |
| 100000315 | ordinal number |
| 100000316 | Nation |
| 100000317 | Encyclopedia General Category |