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cloudmersive-nlp-api-client

v2.1.1

Published

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_

Downloads

32

Readme

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

Documentation for Authorization

Apikey

  • Type: API key
  • API key parameter name: Apikey
  • Location: HTTP header