cloudmersive-nlp-api-client
v2.1.1
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The_powerful_Natural_Language_Processing_APIs__v2_let_you_perform_part_of_speech_tagging_entity_identification_sentence_parsing_and_much_more_to_help_you_understand_the_meaning_of_unstructured_text_
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cloudmersive-nlp-api-client
CloudmersiveNlpApiClient - JavaScript client for cloudmersive-nlp-api-client The powerful Natural Language Processing APIs (v2) let you perform part of speech tagging, entity identification, sentence parsing, and much more to help you understand the meaning of unstructured text. Cloudmersive NLP API provides advanced machine learning-based natural language processing to detect language, sentiment, meaning and intent of text content.
- API version: v1
- Package version: 2.1.1
Installation
For Node.js
npm
To publish the library as a npm, please follow the procedure in "Publishing npm packages".
Then install it via:
npm install cloudmersive-nlp-api-client --save
Local development
To use the library locally without publishing to a remote npm registry, first install the dependencies by changing
into the directory containing package.json
(and this README). Let's call this JAVASCRIPT_CLIENT_DIR
. Then run:
npm install
Next, link it globally in npm with the following, also from JAVASCRIPT_CLIENT_DIR
:
npm link
Finally, switch to the directory you want to use your cloudmersive-nlp-api-client from, and run:
npm link /path/to/<JAVASCRIPT_CLIENT_DIR>
You should now be able to require('cloudmersive-nlp-api-client')
in javascript files from the directory you ran the last
command above from.
git
If the library is hosted at a git repository, e.g. https://github.com/GIT_USER_ID/GIT_REPO_ID then install it via:
npm install GIT_USER_ID/GIT_REPO_ID --save
For browser
The library also works in the browser environment via npm and browserify. After following
the above steps with Node.js and installing browserify with npm install -g browserify
,
perform the following (assuming main.js is your entry file, that's to say your javascript file where you actually
use this library):
browserify main.js > bundle.js
Then include bundle.js in the HTML pages.
Webpack Configuration
Using Webpack you may encounter the following error: "Module not found: Error: Cannot resolve module", most certainly you should disable AMD loader. Add/merge the following section to your webpack config:
module: {
rules: [
{
parser: {
amd: false
}
}
]
}
Getting Started
Please follow the installation instruction and execute the following JS code:
var CloudmersiveNlpApiClient = require('cloudmersive-nlp-api-client');
var defaultClient = CloudmersiveNlpApiClient.ApiClient.instance;
// Configure API key authorization: Apikey
var Apikey = defaultClient.authentications['Apikey'];
Apikey.apiKey = "YOUR API KEY"
// Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null)
//Apikey.apiKeyPrefix['Apikey'] = "Token"
var api = new CloudmersiveNlpApiClient.AnalyticsApi()
var input = new CloudmersiveNlpApiClient.HateSpeechAnalysisRequest(); // {HateSpeechAnalysisRequest} Input hate speech analysis request
var callback = function(error, data, response) {
if (error) {
console.error(error);
} else {
console.log('API called successfully. Returned data: ' + data);
}
};
api.analyticsHateSpeech(input, callback);
Documentation for API Endpoints
All URIs are relative to https://api.cloudmersive.com
Class | Method | HTTP request | Description ------------ | ------------- | ------------- | ------------- CloudmersiveNlpApiClient.AnalyticsApi | analyticsHateSpeech | POST /nlp-v2/analytics/hate-speech | Perform Hate Speech Analysis and Detection on Text CloudmersiveNlpApiClient.AnalyticsApi | analyticsProfanity | POST /nlp-v2/analytics/profanity | Perform Profanity and Obscene Language Analysis and Detection on Text CloudmersiveNlpApiClient.AnalyticsApi | analyticsSentiment | POST /nlp-v2/analytics/sentiment | Perform Sentiment Analysis and Classification on Text CloudmersiveNlpApiClient.AnalyticsApi | analyticsSimilarity | POST /nlp-v2/analytics/similarity | Perform Semantic Similarity Comparison of Two Strings CloudmersiveNlpApiClient.AnalyticsApi | analyticsSubjectivity | POST /nlp-v2/analytics/subjectivity | Perform Subjectivity and Objectivity Analysis on Text CloudmersiveNlpApiClient.ExtractEntitiesApi | extractEntitiesPost | POST /nlp-v2/extract-entities | Extract entities from string CloudmersiveNlpApiClient.LanguageDetectionApi | languageDetectionGetLanguage | POST /nlp-v2/language/detect | Detect language of text CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateDeuToEng | POST /nlp-v2/translate/language/deu/to/eng | Translate German to English text with Deep Learning AI CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateEngToDeu | POST /nlp-v2/translate/language/eng/to/deu | Translate English to German text with Deep Learning AI CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateEngToFra | POST /nlp-v2/translate/language/eng/to/fra | Translate English to French text with Deep Learning AI CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateEngToRus | POST /nlp-v2/translate/language/eng/to/rus | Translate English to Russian text with Deep Learning AI CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateFraToEng | POST /nlp-v2/translate/language/fra/to/eng | Translate French to English text with Deep Learning AI CloudmersiveNlpApiClient.LanguageTranslationApi | languageTranslationTranslateRusToEng | POST /nlp-v2/translate/language/rus/to/eng | Translate Russian to English text with Deep Learning AI CloudmersiveNlpApiClient.ParseApi | parseParseString | POST /nlp-v2/parse/tree | Parse string to syntax tree CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagAdjectives | POST /nlp-v2/pos/tag/adjectives | Part-of-speech tag a string, filter to adjectives CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagAdverbs | POST /nlp-v2/pos/tag/adverbs | Part-of-speech tag a string, filter to adverbs CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagNouns | POST /nlp-v2/pos/tag/nouns | Part-of-speech tag a string, filter to nouns CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagPronouns | POST /nlp-v2/pos/tag/pronouns | Part-of-speech tag a string, filter to pronouns CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagSentence | POST /nlp-v2/pos/tag/sentence | Part-of-speech tag a string CloudmersiveNlpApiClient.PosTaggerApi | posTaggerTagVerbs | POST /nlp-v2/pos/tag/verbs | Part-of-speech tag a string, filter to verbs CloudmersiveNlpApiClient.RephraseApi | rephraseEnglishRephraseSentenceBySentence | POST /nlp-v2/rephrase/rephrase/eng/by-sentence | Rephrase, paraphrase English text sentence-by-sentence using Deep Learning AI CloudmersiveNlpApiClient.SegmentationApi | segmentationGetSentences | POST /nlp-v2/segmentation/sentences | Extract sentences from string CloudmersiveNlpApiClient.SegmentationApi | segmentationGetWords | POST /nlp-v2/segmentation/words | Get words in input string CloudmersiveNlpApiClient.SpellcheckApi | spellcheckCheckSentence | POST /nlp-v2/spellcheck/check/sentence | Check if sentence is spelled correctly CloudmersiveNlpApiClient.SpellcheckApi | spellcheckCorrectJson | POST /nlp-v2/spellcheck/check/word | Find spelling corrections
Documentation for Models
- CloudmersiveNlpApiClient.CheckSentenceRequest
- CloudmersiveNlpApiClient.CheckSentenceResponse
- CloudmersiveNlpApiClient.CheckWordRequest
- CloudmersiveNlpApiClient.CheckWordResponse
- CloudmersiveNlpApiClient.CorrectWordInSentence
- CloudmersiveNlpApiClient.Entity
- CloudmersiveNlpApiClient.ExtractEntitiesRequest
- CloudmersiveNlpApiClient.ExtractEntitiesResponse
- CloudmersiveNlpApiClient.GetWordsRequest
- CloudmersiveNlpApiClient.GetWordsResponse
- CloudmersiveNlpApiClient.HateSpeechAnalysisRequest
- CloudmersiveNlpApiClient.HateSpeechAnalysisResponse
- CloudmersiveNlpApiClient.LanguageDetectionRequest
- CloudmersiveNlpApiClient.LanguageDetectionResponse
- CloudmersiveNlpApiClient.LanguageTranslationRequest
- CloudmersiveNlpApiClient.LanguageTranslationResponse
- CloudmersiveNlpApiClient.ParseRequest
- CloudmersiveNlpApiClient.ParseResponse
- CloudmersiveNlpApiClient.PosRequest
- CloudmersiveNlpApiClient.PosResponse
- CloudmersiveNlpApiClient.PosSentence
- CloudmersiveNlpApiClient.PosTaggedWord
- CloudmersiveNlpApiClient.ProfanityAnalysisRequest
- CloudmersiveNlpApiClient.ProfanityAnalysisResponse
- CloudmersiveNlpApiClient.RephraseRequest
- CloudmersiveNlpApiClient.RephraseResponse
- CloudmersiveNlpApiClient.RephrasedSentence
- CloudmersiveNlpApiClient.RephrasedSentenceOption
- CloudmersiveNlpApiClient.SentenceSegmentationRequest
- CloudmersiveNlpApiClient.SentenceSegmentationResponse
- CloudmersiveNlpApiClient.SentimentAnalysisRequest
- CloudmersiveNlpApiClient.SentimentAnalysisResponse
- CloudmersiveNlpApiClient.SimilarityAnalysisRequest
- CloudmersiveNlpApiClient.SimilarityAnalysisResponse
- CloudmersiveNlpApiClient.SubjectivityAnalysisRequest
- CloudmersiveNlpApiClient.SubjectivityAnalysisResponse
- CloudmersiveNlpApiClient.WordPosition
Documentation for Authorization
Apikey
- Type: API key
- API key parameter name: Apikey
- Location: HTTP header